openedai-speech 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?
openedai-speech
OpenAI-compatible text-to-speech server using local models
VS
RAGFlow
RAG engine with deep document understanding
| Feature | openedai-speech | RAGFlow |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | AGPL-3.0 | Apache-2.0 |
| Language | Python | Go |
| Setup difficulty | Easy | Medium |
| Min. RAM | 2,048 MB | 8,192 MB |
| Deployment | docker | docker, kubernetes |
| GitHub stars | ★ 860 | ★ 87,057 |
| First released | 2024 | 2024 |
| Replaces | OpenAI API, ElevenLabs | NotebookLM |
Why pick each one
Choose openedai-speech if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Written in Python
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 openedai-speech or RAGFlow better?
Neither is universally better. RAGFlow has the larger community, while openedai-speech is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are openedai-speech and RAGFlow free and open-source?
Yes. openedai-speech is licensed under AGPL-3.0 and RAGFlow under Apache-2.0. Both can be self-hosted at no software cost.
Can I run openedai-speech and RAGFlow with Docker?
openedai-speech: yes. RAGFlow: yes.