A RAG Engine for Deep Document Understanding
RAGFlow is an open-source engine designed to build powerful RAG pipelines that deeply understand complex documents—with accurate citations and support for multimodal data and web search.
1. RAGFlow
RAGFlow enables AI engineers and enterprises to build reliable Retrieval-Augmented Generation (RAG) systems that go beyond basic Q&A. With support for deep document understanding, web search integration, and multimodal data (text, images, etc.), RAGFlow helps teams craft advanced research workflows. It emphasizes verifiable citations, making it ideal for enterprise compliance. 100% local and open-source—with over 55k stars—it’s a trusted foundation for serious RAG work.