RAGFlow vs Verba
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?
RAGFlow
RAG engine with deep document understanding
VS
Verba
Open-source RAG chatbot powered by Weaviate
| Feature | RAGFlow | Verba |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | BSD-3-Clause |
| Language | Go | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 8,192 MB | 2,048 MB |
| Deployment | docker, kubernetes | docker, bare-metal |
| GitHub stars | ★ 87,057 | ★ 7,713 |
| First released | 2024 | 2023 |
| Replaces | NotebookLM | NotebookLM |
Why pick each one
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
Choose Verba if…
- Released under the BSD-3-Clause license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Mature project with 7.7k GitHub stars
Frequently asked questions
Is RAGFlow or Verba better?
Neither is universally better. RAGFlow has the larger community, while Verba is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are RAGFlow and Verba free and open-source?
Yes. RAGFlow is licensed under Apache-2.0 and Verba under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run RAGFlow and Verba with Docker?
RAGFlow: yes. Verba: yes.