SHSelfHostIndex

OpenLLMetry 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?
OP OpenLLMetry Open-source observability for LLM applications VS RA RAGFlow RAG engine with deep document understanding
FeatureOpenLLMetryRAGFlow
CategorySelf-Hosted AISelf-Hosted AI
LicenseApache-2.0Apache-2.0
LanguagePythonGo
Setup difficultyMediumMedium
Min. RAM512 MB8,192 MB
Deploymentdocker, sourcedocker, kubernetes
GitHub stars★ 7,360★ 87,057
First released20232024
ReplacesLangSmith, Datadog LLM ObservabilityNotebookLM

Why pick each one

Choose OpenLLMetry if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Mature project with 7.4k GitHub stars
  • Written in Python
OpenLLMetry details

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
RAGFlow details

Frequently asked questions

Is OpenLLMetry or RAGFlow better?

Neither is universally better. RAGFlow has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.

Are OpenLLMetry and RAGFlow free and open-source?

Yes. OpenLLMetry is licensed under Apache-2.0 and RAGFlow under Apache-2.0. Both can be self-hosted at no software cost.

Can I run OpenLLMetry and RAGFlow with Docker?

OpenLLMetry: yes. RAGFlow: yes.

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