ragflow
ragflow.io
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Quick Information
- Category:
- Writing & Chat
- Pricing:
- Free
- Platforms:
- Self-hosted, API
- Free Plan:
- Yes
- API Available:
- Yes
- Last Verified:
- September 2026
What Is ragflow?
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a context layer for LLMs, offering a streamlined RAG workflow adaptable to enterprises of any scale. The project remains actively developed under the Apache-licensed infiniflow/ragflow GitHub repository, with substantial 2026 releases including an August 19, 2026 update adding document- and dataset-level knowledge compilation (supporting Wiki, Graph, Tree, Page Index, Mind Map, and Timeline formats) and a fully revamped Agentic RAG system with four reasoning depth modes (Low, Medium, High, Ultra).
Its continued rapid development pace throughout 2026 is genuinely notable for an open-source project: a May 26, 2026 release added a Browser component letting AI agents autonomously navigate and interact with web pages, and a June 15, 2026 update added support for chat channels including Feishu, Discord, Telegram, and Line, plus an official skill for accessing RAGFlow datasets via OpenClaw — reflecting sustained, active investment rather than a stalled or abandoned project.
It's aimed at developers and enterprises wanting to self-host a genuinely feature-rich, actively-maintained open-source RAG engine rather than relying on a closed commercial platform, with the free, Apache-licensed nature meaning the only cost is self-hosting infrastructure and setup effort — the rapid pace of 2026 feature releases (agentic reasoning modes, browser navigation, multi-channel chat integration) makes it a genuinely competitive option against paid RAG platforms. See our AI Infrastructure directory for related tools like LangChain and LlamaIndex.
What Can You Use ragflow For?
Self-hosted RAG deployment
Deploys a retrieval-augmented generation engine for enterprise LLM applications.
Agentic reasoning
Uses configurable reasoning depth modes (Low, Medium, High, Ultra) for agentic RAG responses.
Multi-format knowledge compilation
Compiles knowledge into Wiki, Graph, Tree, Mind Map, and Timeline formats.
ragflow Features
- Agentic RAG with reasoning modes — Provides four configurable reasoning depth modes for agent responses.
- Browser component — Lets AI agents autonomously navigate and interact with web pages.
- Multi-channel chat support — Supports chat integration with Feishu, Discord, Telegram, Line, and more.
Who Is ragflow For?
- Developers — Self-hosts a free, feature-rich, actively-maintained open-source RAG engine.
- Enterprises — Deploys a streamlined RAG workflow adaptable to enterprise scale without vendor lock-in.
ragflow Pros & Limitations
What We Like
- Genuinely active, rapid development pace throughout 2026 with substantial feature releases
- Free and open-source (Apache license) with no per-token or subscription costs beyond self-hosting
- Feature-rich agentic reasoning and multi-format knowledge compilation rival paid commercial RAG platforms
Limitations
- Requires self-hosting infrastructure and setup effort, unlike managed commercial RAG platforms
- No official paid support tier — reliance on community and documentation for troubleshooting
- Rapid feature pace means frequent updates to track for teams wanting to stay current
ragflow Pricing
| Plan | Price | Main Features |
|---|---|---|
| Open Source | Free | Self-hosted, Apache license, full feature set |
Pricing was last verified September 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #312
- Overall Score:
- 61.0/100
- Monthly Users:
- –
- Rank Change:
- ▲ 21
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by ragflow or its company. How Our Rankings Work
Frequently Asked Questions
Is RAGFlow free?
Yes, it’s fully open-source under the Apache license, with self-hosting infrastructure as the only cost.
What are the reasoning depth modes?
Four configurable modes — Low, Medium, High, and Ultra — for agentic RAG responses.
Can RAGFlow agents browse the web?
Yes, a Browser component lets agents autonomously navigate and interact with web pages.
Is RAGFlow actively maintained?
Yes, with substantial feature releases throughout 2026, including as recently as August 2026.
Our Take
RAGFlow's rapid, sustained 2026 development pace — agentic reasoning modes, browser navigation, multi-channel chat support — reflects genuinely active investment rather than a stalled open-source project.
Its free, Apache-licensed nature makes it a genuinely competitive self-hosted alternative to paid commercial RAG platforms for teams with the infrastructure to run it.
ragflow Alternatives
ragflow Comparisons
Ready to try ragflow?
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