This project implements a simple Retrieval-Augmented Generation (RAG) system using:

• Ollama for running large language models and embeddings locally
• LangChain for chaining prompts and retrieval
• FAISS for efficient vector similarity search
• Streamlit for the user interface

The application allows you to upload PDFs, build a vector index, and interact with your documents through natural language queries.