/my_rag_project

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The RAG Bible

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The RAG Bible is a collection of my personal research and learnings on Retrieval Augmented Generation (RAG) over several months. This repository is designed to benefit both beginners and experienced professionals in the field of RAG. The project includes:

Command Line Interface:

  • Run python script.py for a basic CLI interaction.

    Copy .env into the agent directory. Adjust the query into whatever question you wish. Then

  • Run python main.py for interacting with an agentic system via CLI.

Web User Interface:

Enter the course_project directory. Copy your .env into this directory, and follow the instructions in README.md for web UI interaction.

This repository also contains my learnings from the 2024 LLM Zoomcamp course hosted by DataTalksClub, which focused on RAG.

Confused about where to start? Dive into the notebooks.

When you're ready to interact with a subproject, use the CLI commands or explore the web UI as described.

Contact

For any questions, inquiries, or further collaboration, please contact 🅱🅻🅰🆀