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Last update time : 2026-02-14 20:01:06

RAGFlow is an open-source Retrieval-Augmented Generation engine that enhances LLMs with advanced capabilities for accurate knowledge extraction

The RAGFlow engine represents a significant advancement in the field of artificial intelligence, particularly in the realm of natural language processing and knowledge extraction. By integrating Retrieval-Augmented Generation (RAG) with agentic capabilities, RAGFlow creates a context layer for Large Language Models (LLMs) that enables the extraction of accurate, traceable knowledge from a wide range of heterogeneous sources, including PDFs, Word documents, slides, images, Notion, Confluence, S3, and more. This is achieved through the utilization of AI-powered deep document understanding, configurable LLMs and embedding models, template-based chunking, multi-recall with fused re-ranking, grounded citations, and optional sandboxed code execution.


One of the key benefits of RAGFlow is its ability to facilitate the development of production-grade chatbots, knowledge bases, and agentic workflows at an accelerated pace and with reduced hallucinations. This is made possible through the provision of pre-built agent templates, APIs, multimodal and cross-language support, and scalable ingestion and deployment tools. As a result, developers and enterprises can leverage RAGFlow to build sophisticated applications that can effectively extract and utilize knowledge from diverse sources, thereby enhancing their overall performance and decision-making capabilities.


The significance of RAGFlow extends beyond its technical capabilities, as it also has the potential to revolutionize the way organizations approach knowledge management and extraction. By providing a robust and flexible platform for building knowledge-intensive applications, RAGFlow can help bridge the gap between data silos and facilitate the creation of more informed, data-driven decision-making processes. As the demand for advanced knowledge extraction and management solutions continues to grow, RAGFlow is poised to play a critical role in shaping the future of artificial intelligence and its applications in various industries.

Pricing : Open Source

Web Address : RAGFlow

Tags : RAGFlow Retrieval-Augmented Generation LLMs knowledge extraction AI natural language processing chatbots knowledge bases agentic workflows