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# RAG Document Assistant

A LangChain-based RAG (Retrieval-Augmented Generation) application for document Q&A.

## Features

- Document processing and embedding

- FAISS vector store for efficient retrieval

- Streamlit interface

## Usage


streamlit run app.py

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