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RAG-DeepSeek
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TRELLIS
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Retrieval-Augmented Generation (RAG) system implemented using Python, LangChain, and the DeepSeek R1 model. It combines traditional retrieval techniques (BM25) with modern dense embeddings (FAISS) to build a highly efficient document retrieval and question-answering system.
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