Chainlit app for advanced RAG. Uses llamaparse, langchain, qdrant and models from groq.
python -m venv .venv
.venv/Scritps/activate
pip install -r requirements.txt
All env variables goes to .env ( cp .env.sample
to .env
and paste required env variables)
py ingest.py
chainlit run app.py
error: subprocess-exited-with-error
× pip subprocess to install build dependencies did not run successfully.
│ exit code: 1
╰─> See above for output.