Anse vs RAGFlow

A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.

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FeatureAnseRAGFlow
CategorySelf-Hosted AISelf-Hosted AI
LicenseMITApache-2.0
LanguageTypeScriptGo
Setup difficultyEasyMedium
Min. RAM256 MB8,192 MB
Deploymentdocker, sourcedocker, kubernetes
GitHub stars★ 1,976★ 87,057
First released20232024
ReplacesChatGPTNotebookLM

Why pick each one

Choose Anse if…

  • Released under the MIT license
  • Easy to set up — beginner-friendly
  • First-class Docker support for quick deployment
  • Active community (2k GitHub stars)
Anse details

Choose RAGFlow if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 87.1k GitHub stars
RAGFlow details

Frequently asked questions

Is Anse or RAGFlow better?

Neither is universally better. RAGFlow has the larger community, while Anse is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.

Are Anse and RAGFlow free and open-source?

Yes. Anse is licensed under MIT and RAGFlow under Apache-2.0. Both can be self-hosted at no software cost.

Can I run Anse and RAGFlow with Docker?

Anse: yes. RAGFlow: yes.

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