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Multi-Document-RAG

This project represents a cutting-edge implementation of a multi-document Retrieval-Augmented Generation (RAG) system, using LangChain, Mistral AI, and Streamlit. Designed for efficiency and accuracy, this system seamlessly retrieves relevant information from large, unstructured datasets and generates precise, context-aware responses.