RAGFlow vs Triton Inference Server
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
Triton Inference Server
High-performance inference serving for any model framework
| Feature | RAGFlow | Triton Inference Server |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | BSD-3-Clause |
| Language | Go | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 4,096 MB |
| Deployment | docker, kubernetes | docker, kubernetes |
| GitHub stars | ★ 87,057 | ★ 10,910 |
| First released | 2024 | 2018 |
| Replaces | NotebookLM | Amazon SageMaker |
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 Triton Inference Server if…
- Released under the BSD-3-Clause license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 10.9k GitHub stars
Frequently asked questions
Is RAGFlow or Triton Inference Server better?
RAGFlow is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider Triton Inference Server if its specific feature set fits your needs better.
Are RAGFlow and Triton Inference Server free and open-source?
Yes. RAGFlow is licensed under Apache-2.0 and Triton Inference Server under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run RAGFlow and Triton Inference Server with Docker?
RAGFlow: yes. Triton Inference Server: yes.