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.
Not the right match-up?
Anse
Polished web UI for ChatGPT, DALL-E and other AI models
VS
RAGFlow
RAG engine with deep document understanding
| Feature | Anse | RAGFlow |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | TypeScript | Go |
| Setup difficulty | Easy | Medium |
| Min. RAM | 256 MB | 8,192 MB |
| Deployment | docker, source | docker, kubernetes |
| GitHub stars | ★ 1,976 | ★ 87,057 |
| First released | 2023 | 2024 |
| Replaces | ChatGPT | NotebookLM |
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)
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
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.