prashantbhandari/rag-linux-kernel

📚 Chat with Any Book (RAG)

Upload any PDF book or document and ask questions — get answers with exact page citations.

How it works

1. 1.Upload a PDF
2. 2.The book is split into ~800-token chunks and embedded
3. 3.Your question is matched to the most relevant passages
4. 4.Groq (Llama3-70B) answers using only those passages

Stack

• —LLM: Groq API — llama-3.3-70b-versatile
• —Embeddings: sentence-transformers/all-MiniLM-L6-v2
• —Vector DB: ChromaDB (in-memory, per session)
• —Frontend: Streamlit

Run locally

git clone https://huggingface.co/spaces/YOUR_USERNAME/rag-linux-kernel
cd rag-linux-kernel
pip install -r requirements.txt
GROQ_API_KEY=your_key streamlit run app.py