RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that enables businesses to build question-answering systems backed by well-founded citations from complex formatted data. It's designed for developers and organizations looking to implement RAG workflows with support for various document types, automated chunking, and integration with multiple LLMs and embedding models.
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