Gyokuken/Retrieval-Augmented-Generation-Project
A minimal but complete Retrieval-Augmented Generation (RAG) application that ingests text, stores embeddings in a hosted vector database, retrieves and reranks relevant chunks, and generates grounded answers with citations using an LLM.
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Python
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Last pushed
Jan 25, 2026
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