Semantic Kernel vs 
Ragas
Semantic Kernel vs Ragas compared for 2026 — features, license, ease of use, performance and which one to choose. Microsoft's enterprise agent framework vs Measure whether your RAG is any good.
Updated regularly · curated by OpenSourceAI.tech
Semantic Kernel vs Ragas at a glance
| Spec | Semantic Kernel | Ragas |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | LLM orchestration SDK | RAG evaluation |
| License | MIT | Apache-2.0 |
| Runs locally | Partial | Yes |
| Primary language | C#/Python | Python |
| Ease of use | Intermediate | Intermediate |
| Best for | enterprise teams on the Microsoft stack | anyone tuning a RAG pipeline blind |
| GitHub stars | 28.3k | — |
How Semantic Kernel and Ragas score
| Criterion | Semantic Kernel | Ragas |
|---|---|---|
| Popularity | 3.5 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 3.5 | 3.5 |
| Privacy | 3.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Semantic Kernel
Semantic Kernel is Microsoft's open SDK for building AI agents and orchestrating models in .NET, Python and Java, with plugins, planners and enterprise-grade patterns.
- First-class .NET, Python and Java support
- Enterprise patterns: planners, plugins, filters
- Backed and used by Microsoft at scale
Ragas
Ragas scores RAG pipelines on faithfulness, answer relevance and context precision, turning "it feels better" into numbers.
- Objective RAG quality metrics
- Catches hallucinations quantitatively
- Integrates with LangChain and LlamaIndex
Key differences
Semantic Kernel is lLM orchestration SDK, while Ragas is rAG evaluation. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. They also differ in how they run (Partial vs Yes). In short, Semantic Kernel fits enterprise teams on the Microsoft stack, and Ragas fits anyone tuning a RAG pipeline blind.
Which should you choose?
Choose Semantic Kernel for enterprise teams on the Microsoft stack. Choose Ragas for anyone tuning a RAG pipeline blind.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Semantic Kernel or Ragas easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Semantic Kernel and Ragas free?
Semantic Kernel is free and open source (MIT), and Ragas is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Semantic Kernel and Ragas locally?
Semantic Kernel: partial · Ragas: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Semantic Kernel vs Ragas — which should I pick in 2026?
Choose Semantic Kernel for enterprise teams on the Microsoft stack. Choose Ragas for anyone tuning a RAG pipeline blind.
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