Monish-Nallagondalla/Conversational_RAG_pdf
A Conversational RAG (Retrieval-Augmented Generation) system built with Streamlit, enabling users to upload PDFs, process their content, and ask questions with chat history support. Powered by Groq's Gemma2-9b-It model, HuggingFace embeddings, and Chroma vector store for efficient document retrieval and context-aware responses.
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Python
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MIT
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May 22, 2025
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