NVIDIA NIM-powered RAG app which is optimized for high-performance inference using Llama3 70B and the NV-Embed-v1 embedding

Instruction

1. Add your Nvidia Nim API key in .env which you will get here: https://www.nvidia.com/en-us/ai/
2. Run: conda create -p venv python==3.10 -y
3. Run: conda activate venv/
4. Run: pip install -r requirements.txt

After that you can run the app using streamlit: streamlit run rag_app.py

Have fun :)

*** npm install semantic-release @semantic-release/git @semantic-release/github -D ***