RAG Document Chatbot

Chat with any PDF using AI. Upload a document and ask questions — the chatbot answers strictly from your document content.

Live Demo

https://querylayer-f6oysgzwxrbybz8lezcrmr.streamlit.app/

How it works

1. Ingestion — PDF is parsed, split into chunks, embedded using sentence-transformers and stored in a FAISS vector index
2. Retrieval — User question is embedded and top-4 similar chunks are retrieved via cosine similarity
3. Generation — Retrieved chunks are passed as context to LLaMA 3.1 (via Groq API) which generates a grounded answer

Tech Stack

• Python, Streamlit
• LangChain, FAISS, HuggingFace sentence-transformers
• Groq API (LLaMA 3.1 8B)

Run locally

git clone https://github.com/maynkxx/QueryLayer cd rag-chatbot pip install -r requirements.txt echo "GROQ_API_KEY=your_key" > .env streamlit run app.py