🔍 RAG PDF Assistant

A Retrieval-Augmented Generation (RAG) pipeline to query PDF documents using natural language.

Features

• 📄 Upload any PDF and ask questions about it
• 🔎 Semantic search with FAISS vector store
• ⚡ Powered by Llama 3.1 via Groq API
• 🎨 Clean web interface with Streamlit

Tech Stack

• Python
• Groq API (Llama 3.1)
• LangChain
• FAISS
• Streamlit

Setup

1. Clone the repo
2. Install dependencies: pip install -r requirements.txt
3. Create a .env file with your Groq API key
4. Run: streamlit run app.py