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A powerful web-based application designed to answer questions based on the content of uploaded PDF documents. This project leverages the **Fusion-in-Decoder (FiD)** approach for **Retrieval-Augmented Generation (RAG)**, combining semantic similarity, technical term relevance, and recency to deliver accurate and contextually relevant responses
An attempt to production-ready Retrieval-Augmented Generation (RAG) system with advanced features including hybrid retrieval, adaptive feedback loops, comprehensive evaluation, and explainable AI logging.