RAGFlow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. When integrated with LLMs, it is capable of providing truthful question-answering capabilities, backed by well-founded citations from various complex formatted data.

Last Updated: March 13, 2026

Current Valuation

No valuation data available

Funding Summary

No funding data available.

Key People

Yingfeng Zhang
Co-Founder, CEOFounder
LinkedIn Profile
Hai Jin
Co-FounderFounder
LinkedIn Profile

Core OSS Projects

An open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

License: Apache License 2.0

Business Information

Industries

Software

Technologies

Retrieval-Augmented Generation
LLMs
RAG
AI

Sectors

EnterpriseDevelopers

Licenses

Apache-2.0

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