UC Atlas

This is made to learn building simple RAG chatbot using data from the university

How to use

1. Clone the repo
2. Create an .env file and add whatever is needed provided from the .env.example
3. uv is needed for this project to run uv sync
4. then run uv run agent.py to run the chatbot
5. access http://localhost:7860 to open the chat interface

Status

Satisfied but the code is messy

Things that I used

• LangChain for everything dealing with document conversion, embedding, making agents, etc.
• Gemini and Llama3.1 for the LLM
• Gradio for UI