Data as of Sep 17, 2026 · Based on 3,310,041 AI responses across 10,525 prompts · See how Parse measures this
3 of 3 measured questions
RAGFlowragflow.orgRAGFlow 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.
The market map · 5 of 61 labelled
LLM Fine-Tuning and Hosting Platforms →91%positive
Where RAGFlow ranks in AI
deep document understandingopen-sourceexcellentdeep document and web template understandingeasyeasy to self-hostspecializedsuperior
LlamaIndexco-mentionedCompare →Excerpts where RAGFlow appeared in the AI's answer
RAGFlow : An emerging favorite for deep document understanding and citation-heavy workflows
RAGFlow: An emerging powerhouse if your source documents are notoriously messy enterprise files
Excerpts where RAGFlow appeared in the AI's answer
RAGFlow: An open-source RAG engine built heavily around deep document understanding.
Excerpts where RAGFlow appeared in the AI's answer
RAGFlow : An open-source RAG engine focused heavily on deep document understanding and layout analysis
