This GitHub repository provides all the necessary code for setting up a chatbot using SurrealDB and OpenAI's API. The project demonstrates the integration of a versatile database system with artificial intelligence to manage queries and data. The project is designed a practical example for developers interested in advanced database and AI applications.
To kick things off, ensure you have Docker and Docker Compose installed on your machine, as they are essential for running SurrealDB. Follow the official Docker installation guide and Docker Compose installation instructions if necessary.
Follow these steps to get the chatbot running:
Begin by cloning this repository to your local environment to access the project files.
git clone https://github.com/skl-fusion/rag-chatbot-workshop-using-surrealdb.gitCopy the example.env file to create a .env file at the root of your project. Update this file with your specific database and OpenAI API credentials.
cp example.env .env
# Edit .env with your credentialsInstall the Python dependencies specified in requirements.txt.
pip install -r requirements.txtWe will use a "small dataset," such as the entire works of Shakespeare (only 5.33 MB), which can be found here. There's no need to download it manually, simply execute python upload_documents.py to populate your SurrealDB instance with data. This script uploads the complete works of Shakespeare along with their embedding.
Run python chatbot.py to initiate the chatbot. This script allows the chatbot to begin handling and responding to queries using the data stored in SurrealDB.
SurrealDB was selected for this project owing to its support for multiple query languages and its capability to efficiently manage diverse data types. It offers a flexible and scalable solution for applications necessitating complex data interactions and integration with AI technologies. If you would like to learn more about SurrealDB, I encourage you to visit the official homepage.
That's it, have fun! I hope you have enjoyed this tutorial!