Modular RAG
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Pluggable RAG framework with hybrid search, reranking, multimodal image captioning, and Streamlit dashboard.
About
Modular retrieval-augmented generation framework with a pluggable architecture for LLM, embedding, reranking, and vector store backends. Features hybrid search combining dense vectors and BM25 sparse retrieval with RRF fusion, cross-encoder reranking, multimodal image captioning, and a Streamlit management dashboard. Includes tools for querying the knowledge hub, listing collections, and retrieving document summaries.
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