How AI describes RAGFlow

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine built on deep document understanding, designed to extract knowledge and provide reliable, citation-backed answers from complex unstructured data. It offers a streamlined RAG workflow for enterprises and individuals, supports diverse data sources and formats (Word, PPT, Excel, TXT, images, PDFs, web pages, etc.), and allows configurable LLMs and vector models with template-based, explainable text slicing and provenance visualization. RAGFlow can be deployed via Docker or from source, with a public demo at demo.ragflow.io and ongoing development including cross-language queries and multi-modal capabilities.