RAGFlow vs Upscayl
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
Upscayl
Free AI image upscaler for the desktop
| Feature | RAGFlow | Upscayl |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | AGPL-3.0 |
| Language | Go | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 8,192 MB | 4,096 MB |
| Deployment | docker, kubernetes | binary, bare-metal |
| GitHub stars | ★ 87,057 | ★ 47,833 |
| First released | 2024 | 2022 |
| Replaces | NotebookLM | Topaz Gigapixel AI |
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 Upscayl if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- Mature project with 47.8k GitHub stars
- Written in TypeScript
Frequently asked questions
Is RAGFlow or Upscayl better?
Neither is universally better. RAGFlow has the larger community, while Upscayl is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are RAGFlow and Upscayl free and open-source?
Yes. RAGFlow is licensed under Apache-2.0 and Upscayl under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run RAGFlow and Upscayl with Docker?
RAGFlow: yes. Upscayl: check the project docs for container support.