AtharvaKulkarniIT/rag-qdrant-pipeline
This is a RAG (Retrieval-Augmented Generation) model that leverages Qdrant as a vector store and Google Gemini for intelligent document retrieval and context-aware response generation. It efficiently processes PDF documents to provide detailed answers to user queries based on the extracted context.
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Jupyter Notebook
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MIT
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Last pushed
Oct 08, 2024
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