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A Retrieval-Augmented Generation (RAG) system designed for academic document search and retrieval. This system uses vector embeddings to enable semantic search across academic content, providing relevant context for AI-powered question answering.
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A Retrieval-Augmented Generation (RAG) system designed for academic document search and retrieval. This system uses vector embeddings to enable semantic search across academic content, providing relevant context for AI-powered question answering.
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