RAGgle

Chainlit app for advanced RAG using llamaparse, langchain, qdrant and models from groq.

• LlamaCloud
• Qdrant Cloud
• Groq Cloud

Setup

create virtualenv

python3 -m venv .venv && source .venv/bin/activate

Install packages

pip install -r requirements.txt

Environment variables

All env variables goes to .env ( cp example.env to .env and paste required env variables)

Run the python following files

python3 ingest.py
chainlit run app.py