A simple Python tool which implements a basic RAG (Retrieval Augmented Generation) workflow to answer questions abuot your codebase using a FAISS vector database and the Google Gemini LLM models.
- Install the required packages using
pip install -r requirements.txt - Add an environment variable called GOOGLE_API_KEY containing the API key to access the Google Gemini models.