Shypd.aiThe largest open index of AI toolsRAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that fuses RAG with Agent capabilities. It provides a superior context layer for LLMs, enabling deep document understanding and grounded answers.
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RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates cutting-edge RAG with Agent capabilities to create a superior context layer for Large Language Models (LLMs). It offers a streamlined RAG workflow adaptable for enterprises of any scale, powered by a converged context engine and pre-built agent templates. RAGFlow enables developers to transform complex data into high-fidelity, production-ready AI systems with exceptional efficiency and precision. Key features include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, compatibility with heterogeneous data sources, and an automated RAG workflow. It supports various LLMs and embedding models, multiple recall, and fused re-ranking.
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