RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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RAGFlow is an open-source Retrieval-Augmented Generation engine that combines RAG with agent capabilities to create a context layer for large language models. It's designed for developers and enterprises looking to build AI systems that can process complex, unstructured data and generate accurate, citation-backed responses at scale.