Azure Samples
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- Indexadillo helps you push data to Azure AI Search in a scalable, observable way. Instead of using a pull-based DSL approach, this solution uses Azure Durable Functions to handle everything from parsing your documents to uploading embeddings.
- DataOps for Microsoft Data Platform technologies. https://aka.ms/dataops-repo
- A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
- A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.
- Spring Petclinic Microservices with AI on Azure Container Apps
- A variation of the Azure OpenAI chat baseline, altered to be deployed specifically into an application landing zone.
- This repo contains the reference implementation for the Microsoft Learn Azure OpenAI end to end chat baseline.
- An Azure OpenAI end-to-end chat example used in the Azure Architecture Center.
- Users can enter a text description as part of the browser URL to generate an image using Azure OpenAI Dall-E model. Redis is used as semantic cache and output cache to improve consistency and performance of text-to-image generation.
✈️ An enterprise level Flight Booking System for Airlines (web-application) based on the Model View Controller (MVC) Architecture made using Java Servlets, Java Server Pages (JSPs). Moreover authentication and authorization for users is implemented. The web-application is also secured against SQL Injection and Cross-Site Scripting attacks.- An application showcasing the use of variant feature flags from Azure App Configuration and the transmission of telemetry data to Application Insights
- A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
- A simple chat application that uses managed identity for Azure OpenAI access. Designed for deployment on Azure Container Apps with the Azure Developer CLI.