diff --git a/dev-ai-app-dev-energyutilities/app-architecture/app-architecture.md b/dev-ai-app-dev-energyutilities/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-energyutilities/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-energyutilities/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-energyutilities/build/build_backup.md b/dev-ai-app-dev-energyutilities/build/build_backup.md index 13779cd9f..8b4578fcb 100644 --- a/dev-ai-app-dev-energyutilities/build/build_backup.md +++ b/dev-ai-app-dev-energyutilities/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-energyutilities/local-tenancy/local-tenancy.md b/dev-ai-app-dev-energyutilities/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-energyutilities/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-energyutilities/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-energyutilities/workshops/tenancy/manifest.json b/dev-ai-app-dev-energyutilities/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-energyutilities/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-energyutilities/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-finance/app-architecture/app-architecture.md b/dev-ai-app-dev-finance/app-architecture/app-architecture.md index f916d2555..ea43a660e 100644 --- a/dev-ai-app-dev-finance/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-finance/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-finance/codingbasics/codingbasics.md b/dev-ai-app-dev-finance/codingbasics/codingbasics.md index 6528507af..f0777bd71 100644 --- a/dev-ai-app-dev-finance/codingbasics/codingbasics.md +++ b/dev-ai-app-dev-finance/codingbasics/codingbasics.md @@ -50,7 +50,7 @@ All of the coding examples will be executed in a new Jupyter Notebook. ## Task 2: Connect to the database using Python -In this first task, you will connect to an Oracle AI Database instance using Oracle's Python driver, `oracledb`. `oracledb` is available in PyPi (`pip install oracledb`) and supports in its latest version all of the advanced features of the Oracle Database, including JSON and VECTOR. +In this first task, you will connect to an Oracle AI Database instance using Oracle's Python driver, `oracledb`. `oracledb` is available in PyPi (`pip install oracledb`) and supports in its latest version all of the advanced features of the Oracle AI Database, including JSON and VECTOR. 1. In the newly created Jupyter Notebook, copy and paste the following code block into an empty cell. This code block imports the `oracledb` Python driver and other libraries that help us to securely read credentials from the environment variables. @@ -82,7 +82,7 @@ In this first task, you will connect to an Oracle AI Database instance using Ora ![connect](./images/connect.png " ") ->**Note:** The last line, `cursor = connection.cursor()`, creates a cursor object from the established Oracle database connection. A cursor acts as a control structure that enables the execution of SQL queries and retrieval of results from the database. It is essential for sending SQL commands, fetching data, and iterating through query results. We will be using the cursor object in later steps of this lab. The object persists in the notebook session, so you can use it in subsequent cells without re-establishing the connection. +>**Note:** The last line, `cursor = connection.cursor()`, creates a cursor object from the established Oracle AI Database connection. A cursor acts as a control structure that enables the execution of SQL queries and retrieval of results from the database. It is essential for sending SQL commands, fetching data, and iterating through query results. We will be using the cursor object in later steps of this lab. The object persists in the notebook session, so you can use it in subsequent cells without re-establishing the connection. ## Task 3: Create tables and insert data @@ -195,7 +195,7 @@ Now, that we have established a connection, we can start creating our tables and ### **Task Summary** -Congratulations! You successfully created two new tables with sample data using Python and Oracle Database. +Congratulations! You successfully created two new tables with sample data using Python and Oracle AI Database. You also created a function that allows you to query your new table which we will use in some of the following tasks @@ -488,11 +488,11 @@ The final step in our basic coding tour with Python and the Oracle AI Database i As a developer at Seer Holdings, you've just built the foundation for a GenAI-powered loan approval system. We learned how to use Python and Oracle's Python driver `oracledb` to interact with Oracle AI Database's new features. You learned how to user the `cursor` object to execute SQL queries. Using the `cursor` object, you created a **JSON Duality View** and you even used some JSON functions to query documents using SQL syntax. Then, you also learned how to connect to the database using `pymongo` and retrieve data from a table in the database using **MongoDB syntax**. You created functions to update the **JSON Duality View** and you learned how these updates are also reflected in the underlying relational database tables. -This architecture eliminates the need for duplicating data across platforms and simplifies how developers build AI-ready applications. Whether you're calling SQL, working with JSON, or speaking Mongo, you're always working with a single source of truth inside the Oracle Database. +This architecture eliminates the need for duplicating data across platforms and simplifies how developers build AI-ready applications. Whether you're calling SQL, working with JSON, or speaking Mongo, you're always working with a single source of truth inside the Oracle AI Database. In the next lab, you'll build on this foundation to implement Retrieval-Augmented Generation (RAG), create vector embeddings, and generate personalized loan recommendations with Oracle AI Database and OCI Generative AI. ## Acknowledgements -* **Authors** - Linda Foinding, Kevin Lazarz -* **Contributors** - Francis Regalado, Kamryn Vinson -* **Last Updated By/Date** - Kamryn Vinson, April 2025 +* **Authors** - Linda Foinding +* **Contributors** - Francis Regalado +* **Last Updated By/Date** - Linda Foinding, October 2025 diff --git a/dev-ai-app-dev-finance/introduction/introduction.md b/dev-ai-app-dev-finance/introduction/introduction.md index 4c2a47fcb..7956b3211 100644 --- a/dev-ai-app-dev-finance/introduction/introduction.md +++ b/dev-ai-app-dev-finance/introduction/introduction.md @@ -72,5 +72,5 @@ This lab assumes you have: ## Acknowledgements * **Authors** - Uma Kumar -* **Contributors** - Kevin Lazarz, Linda Foinding +* **Contributors** - Linda Foinding * **Last Updated By/Date** - Uma Kumar, August 2025 \ No newline at end of file diff --git a/dev-ai-app-dev-finance/local-tenancy/local-tenancy.md b/dev-ai-app-dev-finance/local-tenancy/local-tenancy.md index 27f79f7d2..0c7701b08 100644 --- a/dev-ai-app-dev-finance/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-finance/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ This lab will show you how to setup and run the Seer Equities Loan Approval application on OCI. This guide is designed to walk you through the complete setup process, which includes provisioning required services and installing dependencies enabling you to launch and run the application on OCI. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 60 minutes @@ -12,7 +12,7 @@ Estimated Time: 60 minutes By the end of this section, you will be able to: -- Provision and connect to an OCI VM and an Oracle Autonomous Database. +- Provision and connect to an OCI VM and an Oracle Autonomous AI Database. - Set up a Python-based local development environment. @@ -234,19 +234,19 @@ Your default security list should look like the below screenshot. --> -## Task 3: Provision an Autonomous Database +## Task 3: Provision an Autonomous AI Database -The application is built for Autonomous Database. Follow the steps to provision an Oracle Autonomous Transaction Database. +The application is built for Autonomous AI Database. Follow the steps to provision an Oracle Autonomous Transaction Database. -1. Click the navigation menu in the upper left of the OCI console, choose **Oracle Database** then **Autonomous Database**. +1. Click the navigation menu in the upper left of the OCI console, choose **Oracle AI Database** then **Autonomous AI Database**. - ![Choose autonomous database](./images/choose-autonomous.png " ") + ![Choose Autonomous AI Database](./images/choose-autonomous.png " ") -2. Verify that the filter option reflects the correct compartment and click the **Create Autonomous Database** button. +2. Verify that the filter option reflects the correct compartment and click the **Create Autonomous AI Database** button. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -3. Use the information in the table below to fill out the **Create Autonomous Database Serverless** form. Proceed to the next step for instructions on setting up **Network Access**. +3. Use the information in the table below to fill out the **Create Autonomous AI Database Serverless** form. Proceed to the next step for instructions on setting up **Network Access**. | Field Name | Input | | ------------- | ------------ | @@ -254,24 +254,24 @@ The application is built for Autonomous Database. Follow the steps to provision | Database Name | SeerATP | | Compartment | Verify correct compartment | | Workload Type | ATP | - | Database Version | 23ai | + | Database Version | 26ai | | ECPU Count | 2 | | Password | Password1234! | {: title="ADB configuration details overview"} - ![Create Autonomous Database form](./images/create-adb-form.png " ") + ![Create Autonomous AI Database form](./images/create-adb-form.png " ") 1. In the **Network access** section, choose **Secure access from allowed IPs and VCNs only**. In the **IP notation type** drop-down, choose **CIDR block**. For values, enter **0.0.0.0/0**. Verify that **Require mutual TLS (mTLS) authentication** is disabled. Click the **Create** button. - ![Create Autonomous Database form](./images/atp-security-mtls.png " ") + ![Create Autonomous AI Database form](./images/atp-security-mtls.png " ") 2. The ATP Database will enter the provisioning state. - ![Provisioning an Autonomous Database instance](./images/provisioning-atp.png " ") + ![Provisioning an Autonomous AI Database instance](./images/provisioning-atp.png " ") 3. Once the state changes to **Available**, the Autonomous Transaction Processing database is ready to use! - ![Provisioning an Autonomous Database instance](./images/atp-detail-review.png " ") + ![Provisioning an Autonomous AI Database instance](./images/atp-detail-review.png " ") ## Task 5: Setting up the Local Environment @@ -370,7 +370,7 @@ Next you'll create an environment file for the application. 18. The database username should be 'admin'. Use the password that you assigned to the admin user. (Password1234!). Make sure all the information you enter into the file stays between the quotes. -19. Find your database connection string by selecting navigating to **Oracle Database**, choose **Autonomous Database**, then choose the ATP you created earlier in the lab, **SeerATP**. At the top of the screen, click the button labeled **Database Connection**. +19. Find your database connection string by selecting navigating to **Oracle AI Database**, choose **Autonomous AI Database**, then choose the ATP you created earlier in the lab, **SeerATP**. At the top of the screen, click the button labeled **Database Connection**. ![Select Database Connection](./images/db-connection.png " ") @@ -378,9 +378,9 @@ Next you'll create an environment file for the application. ![Copy Connection String](./images/copy-connection-string.png " ") -21. Copy your Autonomous Database Name and OCID and paste them into your .env file. +21. Copy your Autonomous AI Database Name and OCID and paste them into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") 22. While still in the ATP details screen, click the **Tool Configuration** tab. Copy the Graph Studio Public access URL and paste it into the .env file. @@ -619,7 +619,7 @@ Streamlit is up and running. Press Control + C on your keyboard to escape. ![Application start screen](./images/application-start-screen.png " ") -Congratulations, you have built and configured the Loan Management application using Oracle Cloud Insfrastructure, Oracle Autonomous Database, and Oracle GenAI! +Congratulations, you have built and configured the Loan Management application using Oracle Cloud Insfrastructure, Oracle Autonomous AI Database, and Oracle GenAI! ## Troubleshooting @@ -641,7 +641,7 @@ If you encounter any issues during the setup, here are a few common troubleshoot * **Dependencies Installation Issues**: Double-check the requirements.txt file to ensure it contains the correct package names. If a specific package fails, you can try installing it manually with pip install . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes diff --git a/dev-ai-app-dev-finance/workshops/sandbox/manifest.json b/dev-ai-app-dev-finance/workshops/sandbox/manifest.json index dbfa12452..1d327f1de 100644 --- a/dev-ai-app-dev-finance/workshops/sandbox/manifest.json +++ b/dev-ai-app-dev-finance/workshops/sandbox/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI-Powered Financial Services Loan Approval Application with Oracle Database 23ai", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Finance Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -18,17 +18,17 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Coding Basics on Oracle Database 23ai", + "title": "Lab 3: Coding Basics on Oracle AI Database", "description": "Some coding examples", "filename": "https://oracle-livelabs.github.io/developer/dev-ai-app-dev-retail/codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, { - "title": "Lab 5: Interact with Oracle Database 23ai through an MCP Server", + "title": "Lab 5: Interact with Oracle AI Database through an MCP Server", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "https://oracle-livelabs.github.io/developer/dev-ai-app-dev-retail/mcp/mcp.md" }, diff --git a/dev-ai-app-dev-finance/workshops/tenancy/manifest.json b/dev-ai-app-dev-finance/workshops/tenancy/manifest.json index 104133f36..2166b641e 100644 --- a/dev-ai-app-dev-finance/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-finance/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI-Powered Financial Services Loan Approval Application with Oracle Database 23ai", + "workshoptitle": "Build a GenAI-Powered Financial Services Loan Approval Application with Oracle AI Database", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-gaming/app-architecture/app-architecture.md b/dev-ai-app-dev-gaming/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-gaming/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-gaming/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-gaming/build/build_backup.md b/dev-ai-app-dev-gaming/build/build_backup.md index 13779cd9f..317b4ad80 100644 --- a/dev-ai-app-dev-gaming/build/build_backup.md +++ b/dev-ai-app-dev-gaming/build/build_backup.md @@ -2,13 +2,13 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle AI Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes ### Objectives -By the end of this hands-on session, you will have established a connection to an Oracle Database, fetched and explored customer data, processed relevant information, and utilized a Large Language Model (LLM) to generate personalized loan recommendations based on detailed customer profiles. This system integrates cutting-edge AI capabilities with robust database technology to deliver tailored financial solutions. +By the end of this hands-on session, you will have established a connection to an Oracle AI Database, fetched and explored customer data, processed relevant information, and utilized a Large Language Model (LLM) to generate personalized loan recommendations based on detailed customer profiles. This system integrates cutting-edge AI capabilities with robust database technology to deliver tailored financial solutions. Throughout this section we will be leveraging a Jupyter Notebook to explore building parts of the application. If you are unfamiliar with notebooks here are a few tips to get started: @@ -65,7 +65,7 @@ You will also be able to review important parts of the python code below. **Code Highlight: Connect to the Database** -This section sets up a secure connection to an Oracle database by importing necessary libraries and loading environment variables from a .env file. The get\_db\_connection function retrieves the database username, password, and connection string, then uses the oracledb library to establish a connection. +This section sets up a secure connection to an Oracle AI Database by importing necessary libraries and loading environment variables from a .env file. The get\_db\_connection function retrieves the database username, password, and connection string, then uses the oracledb library to establish a connection. ![Code Highlight: Connect to the Database](./images/code-highlight-1.png " ") @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle AI Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-gaming/local-tenancy/local-tenancy.md b/dev-ai-app-dev-gaming/local-tenancy/local-tenancy.md index b007c9347..4f632ca72 100644 --- a/dev-ai-app-dev-gaming/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-gaming/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle AI Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle AI Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-gaming/workshops/tenancy/manifest.json b/dev-ai-app-dev-gaming/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-gaming/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-gaming/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-healthcare/app-architecture/app-architecture.md b/dev-ai-app-dev-healthcare/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-healthcare/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-healthcare/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-healthcare/build/build_backup.md b/dev-ai-app-dev-healthcare/build/build_backup.md index 13779cd9f..5589faa2d 100644 --- a/dev-ai-app-dev-healthcare/build/build_backup.md +++ b/dev-ai-app-dev-healthcare/build/build_backup.md @@ -2,13 +2,13 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle AI Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes ### Objectives -By the end of this hands-on session, you will have established a connection to an Oracle Database, fetched and explored customer data, processed relevant information, and utilized a Large Language Model (LLM) to generate personalized loan recommendations based on detailed customer profiles. This system integrates cutting-edge AI capabilities with robust database technology to deliver tailored financial solutions. +By the end of this hands-on session, you will have established a connection to an Oracle AI Database, fetched and explored customer data, processed relevant information, and utilized a Large Language Model (LLM) to generate personalized loan recommendations based on detailed customer profiles. This system integrates cutting-edge AI capabilities with robust database technology to deliver tailored financial solutions. Throughout this section we will be leveraging a Jupyter Notebook to explore building parts of the application. If you are unfamiliar with notebooks here are a few tips to get started: @@ -65,7 +65,7 @@ You will also be able to review important parts of the python code below. **Code Highlight: Connect to the Database** -This section sets up a secure connection to an Oracle database by importing necessary libraries and loading environment variables from a .env file. The get\_db\_connection function retrieves the database username, password, and connection string, then uses the oracledb library to establish a connection. +This section sets up a secure connection to an Oracle AI Database by importing necessary libraries and loading environment variables from a .env file. The get\_db\_connection function retrieves the database username, password, and connection string, then uses the oracledb library to establish a connection. ![Code Highlight: Connect to the Database](./images/code-highlight-1.png " ") @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database 23ai, providing game-changing flexibility and simplicity for Oracle AI Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-healthcare/local-tenancy/local-tenancy.md b/dev-ai-app-dev-healthcare/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-healthcare/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-healthcare/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-healthcare/workshops/tenancy/manifest.json b/dev-ai-app-dev-healthcare/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-healthcare/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-healthcare/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-hightech/app-architecture/app-architecture.md b/dev-ai-app-dev-hightech/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-hightech/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-hightech/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-hightech/build/build_backup.md b/dev-ai-app-dev-hightech/build/build_backup.md index 13779cd9f..8b4578fcb 100644 --- a/dev-ai-app-dev-hightech/build/build_backup.md +++ b/dev-ai-app-dev-hightech/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-hightech/local-tenancy/local-tenancy.md b/dev-ai-app-dev-hightech/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-hightech/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-hightech/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-hightech/workshops/tenancy/manifest.json b/dev-ai-app-dev-hightech/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-hightech/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-hightech/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-life_sciences/app-architecture/app-architecture.md b/dev-ai-app-dev-life_sciences/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-life_sciences/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-life_sciences/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-life_sciences/build/build_backup.md b/dev-ai-app-dev-life_sciences/build/build_backup.md index 13779cd9f..8b4578fcb 100644 --- a/dev-ai-app-dev-life_sciences/build/build_backup.md +++ b/dev-ai-app-dev-life_sciences/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-life_sciences/local-tenancy/local-tenancy.md b/dev-ai-app-dev-life_sciences/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-life_sciences/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-life_sciences/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-life_sciences/workshops/tenancy/manifest.json b/dev-ai-app-dev-life_sciences/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-life_sciences/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-life_sciences/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-manufacturing/app-architecture/app-architecture.md b/dev-ai-app-dev-manufacturing/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-manufacturing/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-manufacturing/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-manufacturing/build/build_backup.md b/dev-ai-app-dev-manufacturing/build/build_backup.md index 13779cd9f..8b4578fcb 100644 --- a/dev-ai-app-dev-manufacturing/build/build_backup.md +++ b/dev-ai-app-dev-manufacturing/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-manufacturing/local-tenancy/local-tenancy.md b/dev-ai-app-dev-manufacturing/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-manufacturing/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-manufacturing/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-manufacturing/workshops/tenancy/manifest.json b/dev-ai-app-dev-manufacturing/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-manufacturing/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-manufacturing/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-retail/app-architecture/app-architecture.md b/dev-ai-app-dev-retail/app-architecture/app-architecture.md index e2c4047ac..4ed374107 100644 --- a/dev-ai-app-dev-retail/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-retail/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The Seer Retail return authorization application runs in an **Oracle Cloud Infra - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-retail/build/build_backup.md b/dev-ai-app-dev-retail/build/build_backup.md index b0469444a..9ec81e70e 100644 --- a/dev-ai-app-dev-retail/build/build_backup.md +++ b/dev-ai-app-dev-retail/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Francis Regalado, Linda Foinding diff --git a/dev-ai-app-dev-retail/local-tenancy/local-tenancy.md b/dev-ai-app-dev-retail/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-retail/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-retail/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-retail/oraclemcp/oraclemcp.md b/dev-ai-app-dev-retail/oraclemcp/oraclemcp.md index c4c6f8d83..1b8abfd50 100644 --- a/dev-ai-app-dev-retail/oraclemcp/oraclemcp.md +++ b/dev-ai-app-dev-retail/oraclemcp/oraclemcp.md @@ -2,7 +2,7 @@ ## Introduction -You’re a developer at SeerHolding, supporting multiple SeerGroup divisions such as SeerEquities, SeerRetail, SeerEnergy, and SeerHealth. Each business unit wants AI-driven apps that interact directly with Oracle Database 23ai to query data and trigger workflows. +You’re a developer at SeerHolding, supporting multiple SeerGroup divisions such as SeerEquities, SeerRetail, SeerEnergy, and SeerHealth. Each business unit wants AI-driven apps that interact directly with Oracle AI Database to query data and trigger workflows. Your job: Build a common agentic AI foundation so teams can query data, trigger workflows, and build copilots—without changing existing back-end logic. @@ -228,7 +228,7 @@ Here’s what this app wires together: * **OCI GenAI**: uses the cohere.command-a-03-2025 model for reasoning and summarization. -Together, these layers turn a standard Flask app into an agentic web interface — one that remembers, reasons, and interacts with Oracle Database 23ai in natural language. +Together, these layers turn a standard Flask app into an agentic web interface — one that remembers, reasons, and interacts with Oracle AI Database in natural language. ## Task 5: Create and Modify Database Objects via MCP @@ -319,7 +319,7 @@ You learned how to: * Deliver faster: prototype enterprise-grade AI assistants in hours, not weeks. -You’ve laid the foundation for SeerHolding’s agentic AI platform: turning Oracle Database 23ai into the intelligent core of SeerGroup’s future applications. +You’ve laid the foundation for SeerHolding’s agentic AI platform: turning Oracle AI Database into the intelligent core of SeerGroup’s future applications. ## Learn more diff --git a/dev-ai-app-dev-retail/workshops/tenancy/manifest.json b/dev-ai-app-dev-retail/workshops/tenancy/manifest.json index 32c63f355..1ccde3956 100644 --- a/dev-ai-app-dev-retail/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-retail/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Retail Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Retail Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -18,12 +18,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Coding Basics on Oracle Database 23ai", + "title": "Lab 3: Coding Basics on Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -33,7 +33,7 @@ "filename": "../../oraclemcp/oraclemcp.md" }, { - "title": "Lab 6: Interact with Oracle Database 23ai through an MCP Server", + "title": "Lab 6: Interact with Oracle AI Database through an MCP Server", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../mcp/mcp.md" }, diff --git a/dev-ai-app-dev-state/app-architecture/app-architecture.md b/dev-ai-app-dev-state/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-state/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-state/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-state/build/build_backup.md b/dev-ai-app-dev-state/build/build_backup.md index 13779cd9f..8b4578fcb 100644 --- a/dev-ai-app-dev-state/build/build_backup.md +++ b/dev-ai-app-dev-state/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-state/local-tenancy/local-tenancy.md b/dev-ai-app-dev-state/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-state/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-state/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-state/workshops/tenancy/manifest.json b/dev-ai-app-dev-state/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-state/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-state/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-telecommunication/app-architecture/app-architecture.md b/dev-ai-app-dev-telecommunication/app-architecture/app-architecture.md index 9f1dd84eb..ef991cb71 100644 --- a/dev-ai-app-dev-telecommunication/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-telecommunication/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services @@ -53,7 +53,7 @@ A key feature that should be highlighted is the ability to connect the database ### **AI Vector Search** -Oracle AI Vector Search, a feature of Oracle Database 23ai, enables fast, efficient searches over AI-generated vectors stored in the database. It supports multiple indexing strategies and scales to large datasets. With it, Large Language Models (LLMs) can query private business data using natural language, returning more accurate, context-aware results. Developers can also add semantic search to new or existing applications with minimal effort. A **unique feature** of Oracle AI Databaseis its capability to host ONNX models and deploy them as a database function. This feature allows you to host ONNX models and deploy them as a database function, enabling seamless integration with Oracle Database 23ai. +Oracle AI Vector Search, a feature of Oracle AI Database, enables fast, efficient searches over AI-generated vectors stored in the database. It supports multiple indexing strategies and scales to large datasets. With it, Large Language Models (LLMs) can query private business data using natural language, returning more accurate, context-aware results. Developers can also add semantic search to new or existing applications with minimal effort. A **unique feature** of Oracle AI Databaseis its capability to host ONNX models and deploy them as a database function. This feature allows you to host ONNX models and deploy them as a database function, enabling seamless integration with Oracle AI Database. **Where is it used**: AI Vector Search is a key feature of the demo app and is also a topic in Lab 4 and Lab 5. In Lab 4, you use AI Vector Search to implement a RAG process, while in Lab 5, you specifically implement similarity search. diff --git a/dev-ai-app-dev-telecommunication/build/build.md b/dev-ai-app-dev-telecommunication/build/build.md index b040334cd..85417933e 100644 --- a/dev-ai-app-dev-telecommunication/build/build.md +++ b/dev-ai-app-dev-telecommunication/build/build.md @@ -539,7 +539,7 @@ In this step: ![vector](./images/create-vector.png " ") -## Task 7: Implement RAG with Oracle Database 23ai's Vector Search +## Task 7: Implement RAG with Oracle AI Database's Vector Search Now that the recommendations are vectorized, we can process a user’s question: diff --git a/dev-ai-app-dev-telecommunication/build/build_backup.md b/dev-ai-app-dev-telecommunication/build/build_backup.md index 13779cd9f..8b4578fcb 100644 --- a/dev-ai-app-dev-telecommunication/build/build_backup.md +++ b/dev-ai-app-dev-telecommunication/build/build_backup.md @@ -2,7 +2,7 @@ ## Introduction -In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle Database 23Ai will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. +In this lab, you will learn how to **build a generative AI-powered loan recommendation system using Oracle Database and OCI Generative AI**. This application will act as a flexible template that can be adapted to a wide range of use cases. Oracle AI Database will function as the vector data, where you'll store important context for the model to use when generating responses. This approach allows you to create a robust system that retrieves relevant data and combines it with the power of generative AI to deliver accurate, up-to-date answers based on your specific business needs. Estimated Time: 20 minutes @@ -73,7 +73,7 @@ This section sets up a secure connection to an Oracle database by importing nece **About Oracle AI Vector Search** -Oracle AI Vector Search is a feature of Oracle Database 23ai that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. +Oracle AI Vector Search is a feature of Oracle AI Database that enables efficient searching of AI-generated vectors stored in the database. It supports fast search using various indexing strategies and can handle massive amounts of vector data. This makes it possible for Large Language Models (LLMs) to query private business data using a natural language interface, helping them provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search capabilities to both new and existing applications. **Code Highlight: Onnx Model** @@ -107,7 +107,7 @@ Generative AI excels at creating text responses based on large language models ( **About Property Graph** -In Oracle Database 23ai we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. +In Oracle AI Database we can create property graphs inside the database. These property graphs allow us to map the vertices and edges to new or existing tables, external tables, materialized views or synonyms to these objects inside the database. The property graphs are stored as metadata inside the database meaning they don't store the actual data. Rather, the data is still stored in the underlying objects and we use the SQL/PQG syntax to interact with the property graphs. Property graphs make the process of working with interconnected data, like identifying influencers in a social network, predicting trends and customer behavior, discovering relationships based on pattern matching and more by providing a more natural and efficient way to model and query them. @@ -127,7 +127,7 @@ Property graphs make the process of working with interconnected data, like ident **About JSON Duality View** -JSON Relational Duality is a landmark capability in Oracle Database 23ai, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. +JSON Relational Duality is a landmark capability in Oracle AI Database, providing game-changing flexibility and simplicity for Oracle Database developers. This feature overcomes the historical challenges developers have faced when building applications using the relational or document models. JSON Relational Duality helps to converge the benefits of both document and relational worlds. Developers now get the flexibility and data access benefits of the JSON document model, plus the storage efficiency and power of the relational model. The new feature enabling this functionality is JSON Relational Duality View @@ -140,7 +140,7 @@ This section dynamically updates customer data in our clients\_dv table by build ## Learn More -* [Oracle Database 23ai Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) +* [Oracle AI Database Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/) ## Acknowledgements * **Authors** - Linda Foinding, Francis Regalado diff --git a/dev-ai-app-dev-telecommunication/local-tenancy/local-tenancy.md b/dev-ai-app-dev-telecommunication/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-telecommunication/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-telecommunication/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-telecommunication/user-story/user-story.md b/dev-ai-app-dev-telecommunication/user-story/user-story.md index 957587060..662486e5e 100644 --- a/dev-ai-app-dev-telecommunication/user-story/user-story.md +++ b/dev-ai-app-dev-telecommunication/user-story/user-story.md @@ -2,7 +2,7 @@ ## Introduction -Act as a Network Operations Engineer using an AI powered service approval platform running on Oracle Database 23ai. Discover how Generative AI, Vector Search, Graph Analytics, and JSON Duality Views instantly analyze inverter specs, feeder capacity, and compliance rules, replacing monthlong manual studies with automated, data in place insights. +Act as a Network Operations Engineer using an AI powered service approval platform running on Oracle AI Database. Discover how Generative AI, Vector Search, Graph Analytics, and JSON Duality Views instantly analyze inverter specs, feeder capacity, and compliance rules, replacing monthlong manual studies with automated, data in place insights. **Disclaimer**: Please note that your results may vary. The information provided is generated by OCI Generative AI services, and your outcomes may differ from those presented. @@ -59,7 +59,7 @@ In this first example, you will use the application to approve a Bandwidth Upgra ![Bob Smith chatbot](./images/Bob-Smith-chatbot.png =50%x*) ->💡 In Oracle Database 23ai, **AI Vector Search** allows you to combine your business data with a Large Language Model (LLM) to reduce hallucinations and get accurate answers from your data. +>💡 In Oracle AI Database, **AI Vector Search** allows you to combine your business data with a Large Language Model (LLM) to reduce hallucinations and get accurate answers from your data. 4. Select the **Navigate To Customer Decisions** button. @@ -148,7 +148,7 @@ In this example, you will navigate the application to review a customer and requ This graph shows how Henry Davis’s Residential Fiber request connects to the network and is flagged with a High Risk rating and a pending policy check. Instead of hidden backend validations, the Operational Property Graph makes the reasoning visual by linking the customer, request, AI recommendation, risk level, and policy compliance in one view. Network engineers can instantly see why the system requires more information before approval, helping build confidence and transparency in the decision process. ->💡 In Oracle Database 23ai, **Property Graph** allows you to treat your data like a network of connected points, where each point (called a node) and each link (called an edge) has its own details or properties. This setup helps you run graph analytics, to find important connections or patterns, directly within the database. +>💡 In Oracle AI Database, **Property Graph** allows you to treat your data like a network of connected points, where each point (called a node) and each link (called an edge) has its own details or properties. This setup helps you run graph analytics, to find important connections or patterns, directly within the database. 5. On the decisions page you can view the AI recommendation for Henry Davis. It shows the suggested action, comprehensive evaluation, and recommendations explanations. @@ -215,7 +215,7 @@ In conclusion our Request Approval App was able to leverage Oracle AI Databasete ✅ Automate profile evaluations -✅ Provide AI-driven recommendations by using a RAG model powered by a Oracle Database 23ai's AI Vector Search and OCI Generative AI service +✅ Provide AI-driven recommendations by using a RAG model powered by a Oracle AI Database's AI Vector Search and OCI Generative AI service ✅ Enable seamless profile updates with JSON Duality Views diff --git a/dev-ai-app-dev-telecommunication/workshops/tenancy/manifest.json b/dev-ai-app-dev-telecommunication/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-telecommunication/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-telecommunication/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" }, diff --git a/dev-ai-app-dev-transportation/app-architecture/app-architecture.md b/dev-ai-app-dev-transportation/app-architecture/app-architecture.md index cdbcc7c9f..b5fb0c46b 100644 --- a/dev-ai-app-dev-transportation/app-architecture/app-architecture.md +++ b/dev-ai-app-dev-transportation/app-architecture/app-architecture.md @@ -30,7 +30,7 @@ The SeerEquities loan application runs in an **Oracle Cloud Infrastructure (OCI) - The Application Subnet connects to the Oracle Services Network via the Service Gateway, enabling access to: - - Autonomous Database Serverless + - Autonomous AI Database Serverless - OCI Generative AI Services diff --git a/dev-ai-app-dev-transportation/local-tenancy/local-tenancy.md b/dev-ai-app-dev-transportation/local-tenancy/local-tenancy.md index b007c9347..ebf6357f1 100644 --- a/dev-ai-app-dev-transportation/local-tenancy/local-tenancy.md +++ b/dev-ai-app-dev-transportation/local-tenancy/local-tenancy.md @@ -4,7 +4,7 @@ In this section, you will learn how to run the Seer Equities Loan Approval application locally. This guide is designed to walk you through the complete setup process—from provisioning required services to installing dependencies and launching the application on your local machine. -The document is structured to help you meet all prerequisites, configure both the Autonomous Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. +The document is structured to help you meet all prerequisites, configure both the Autonomous AI Database and the OCI Generative AI Service, and troubleshoot any issues that may arise during setup. Whether you're new to Oracle Cloud Infrastructure or simply deploying locally for development and testing, this step-by-step guide will ensure a smooth setup experience. Estimated Time: 20 minutes @@ -12,7 +12,7 @@ Estimated Time: 20 minutes By the end of this section, you will be able to: -- Provision and connect to an Autonomous Database +- Provision and connect to an Autonomous AI Database - Set up a Python-based local development environment @@ -27,9 +27,9 @@ By the end of this section, you will be able to: Let’s get started! -## Task 1: Provision an Autonomous Database +## Task 1: Provision an Autonomous AI Database -Before you can run the application, you need to provision an **Autonomous Database** and obtain the following connection details: +Before you can run the application, you need to provision an **Autonomous AI Database** and obtain the following connection details: * **Username** @@ -41,15 +41,15 @@ Before you can run the application, you need to provision an **Autonomous Data ![Begin navigation in OCI menu](./images/begin-oci-menu.png" ") -3. Click **Oracle Database** -> **Autonomous Database**. +3. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -4. Click **Create Autonomous Database** to start the instance creation process. +4. Click **Create Autonomous AI Database** to start the instance creation process. - ![Create Autonomous Database](./images/create-adb.png " ") + ![Create Autonomous AI Database](./images/create-adb.png " ") -5. This brings up the **Create Autonomous Database** screen where you will specify the configuration of the instance. Provide basic information for the autonomous database: +5. This brings up the **Create Autonomous AI Database** screen where you will specify the configuration of the instance. Provide basic information for the Autonomous AI Database: **Display Name** - Enter a memorable name for the database for display purposes. For this lab, we used **SeerEquites**.

**Database Name** - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.) For this lab, we used **SeerEquites**.

@@ -84,21 +84,21 @@ Before you can run the application, you need to provision an **Autonomous Data For this lab, accept the default, **Secure access from everywhere**.

If you want to allow traffic only from the IP addresses and VCNs you specify where access to the database from all public IPs or VCNs is blocked, select **Secure access from allowed IPs and VCNs only**.

If you want to restrict access to a private endpoint within an OCI VCN, select **Private endpoint access only**.

- If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. + If the **Require mutual TLS (mTLS) authentication** option is selected, mTLS will be required to authenticate connections to your Autonomous AI Database. TLS connections allows Oracle Data Provider for .NET to connect to your Autonomous AI Database without a wallet. See the [documentation for network options](https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/support-tls-mtls-authentication.html#GUID-3F3F1FA4-DD7D-4211-A1D3-A74ED35C0AF5) for options to allow TLS, or to require only mutual TLS (mTLS) authentication. ![Choose the network access type](./images/network-access.png " ") 10. Click **Create**. - ![Click Create Autonomous Database button](./images/create-adb-button.png " ") + ![Click Create Autonomous AI Database button](./images/create-adb-button.png " ") 11. Your instance will begin provisioning. In a few minutes the state will turn from Provisioning to Available. At this point, your Autonomous Transaction Processing database is ready to use! Have a look at your instance's details here including its name, database version, CPU count and storage size. - ![Provisioning an Autonomous Database instance](./images/adb-provisioning.png " ") - Provisioning an Autonomous Database instance. + ![Provisioning an Autonomous AI Database instance](./images/adb-provisioning.png " ") + Provisioning an Autonomous AI Database instance. - ![Autonomous Database instance successfully provisioned](./images/adb-provisioned.png " ") - Autonomous Database instance successfully provisioned. + ![Autonomous AI Database instance successfully provisioned](./images/adb-provisioned.png " ") + Autonomous AI Database instance successfully provisioned. ## Task 2: Unzip the Code @@ -213,7 +213,7 @@ To run the application, Python version 3.9 or higher is required. Follow the **Autonomous Database**. +13. Navigate back to your Autonomous AI Database to copy your ADB OCID. Click **Oracle Database** -> **Autonomous AI Database**. - ![Select Autonomous Database from menu](./images/select-atp.png" ") + ![Select Autonomous AI Database from menu](./images/select-atp.png" ") -14. Select your Autonomous Database. +14. Select your Autonomous AI Database. - ![Select your Autonomous Database](./images/select-your-adb.png " ") + ![Select your Autonomous AI Database](./images/select-your-adb.png " ") -15. Copy your Autonomous Database OCID. Paste it into your .env file. +15. Copy your Autonomous AI Database OCID. Paste it into your .env file. - ![Copy your Autonomous Database OCID](./images/adb-ocid.png " ") + ![Copy your Autonomous AI Database OCID](./images/adb-ocid.png " ") You should now have all of the credentials for your .env file filled in. @@ -331,7 +331,7 @@ To run the application, Python version 3.9 or higher is required. Follow the . -* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous Database. +* **Database Connection Errors**: Ensure that the database credentials in the .env file are correct and that you have access to the Autonomous AI Database. ## Additional Notes * Your .oci/config and .environment files contain sensitive credentials. Do not commit them to version control. diff --git a/dev-ai-app-dev-transportation/workshops/tenancy/manifest.json b/dev-ai-app-dev-transportation/workshops/tenancy/manifest.json index 1c09880b1..30eb6abfc 100644 --- a/dev-ai-app-dev-transportation/workshops/tenancy/manifest.json +++ b/dev-ai-app-dev-transportation/workshops/tenancy/manifest.json @@ -1,5 +1,5 @@ { - "workshoptitle": "Build a GenAI App on Oracle Database 23ai – Healthcare Edition", + "workshoptitle": "Build a GenAI App on Oracle AI Database – Healthcare Edition", "help": "livelabs-help-database_us@oracle.com", "tutorials": [ { @@ -23,12 +23,12 @@ "filename": "../../connect-to-env/connect-to-env.md" }, { - "title": "Lab 3: Start coding with Oracle Database 23ai", + "title": "Lab 3: Start coding with Oracle AI Database", "description": "Some coding examples", "filename": "../../codingbasics/codingbasics.md" }, { - "title": "Lab 4: Step by Step - Implement RAG with Oracle Database 23ai", + "title": "Lab 4: Step by Step - Implement RAG with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../build/build.md" }, @@ -68,7 +68,7 @@ "filename": "../../microservice-creport/creditreport-exercise.md.md" }, { - "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle Database 23ai", + "title": "Lab 9 Challenge Yourself: Spatial Development with Oracle AI Database", "description": "This is a step-by-step guide showcasing how the demo instance is navigated", "filename": "../../spatial/spatial.md" },