Semantic Kernel vs GraphRAG
Semantic Kernel vs GraphRAG compared for 2026 — features, license, ease of use, performance and which one to choose. Microsoft's enterprise agent framework vs RAG that builds a knowledge graph first.
Updated regularly · curated by OpenSourceAI.tech
Semantic Kernel vs GraphRAG at a glance
| Spec | Semantic Kernel | GraphRAG |
|---|---|---|
| Category | LLM / RAG framework | LLM / RAG framework |
| Type | LLM orchestration SDK | RAG pipeline |
| License | MIT | MIT |
| Runs locally | Partial | Partial |
| Primary language | C#/Python | Python |
| Ease of use | Intermediate | Advanced |
| Best for | enterprise teams on the Microsoft stack | complex question-answering over big document sets |
| GitHub stars | 28.3k | 34.5k |
Feature comparison
| Feature | Semantic Kernel | GraphRAG |
|---|---|---|
| Python | ✓ | ✓ |
| JavaScript / TS | ✗ | ✗ |
| Agents | ✓ | ✗ |
| RAG | ✓ | ✓ |
| Streaming | ✓ | ✗ |
| Many integrations | ✓ | ✗ |
How Semantic Kernel and GraphRAG score
| Criterion | Semantic Kernel | GraphRAG |
|---|---|---|
| Popularity | 3.5 | 4.0 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 3.5 | 2.5 |
| Privacy | 3.5 | 3.5 |
| 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
GraphRAG
GraphRAG from Microsoft Research extracts entities and relations into a knowledge graph before retrieval, dramatically improving answers to global, multi-hop questions over large corpora.
- Answers global questions plain RAG misses
- Structured, explainable retrieval via graph communities
- From Microsoft Research with active development
Key differences
Semantic Kernel is lLM orchestration SDK, while GraphRAG is rAG pipeline. Semantic Kernel leans more intermediate-friendly, whereas GraphRAG is more suited to advanced users. In short, Semantic Kernel fits enterprise teams on the Microsoft stack, and GraphRAG fits complex question-answering over big document sets.
Which should you choose?
Choose Semantic Kernel for enterprise teams on the Microsoft stack. Choose GraphRAG for complex question-answering over big document sets.
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 GraphRAG easier to use?
Semantic Kernel is generally the easier of the two to get started with, while GraphRAG rewards more setup with more control.
Are Semantic Kernel and GraphRAG free?
Semantic Kernel is free and open source (MIT), and GraphRAG is free and open source (MIT). Neither charges for the core software.
Can I run Semantic Kernel and GraphRAG locally?
Semantic Kernel: partial · GraphRAG: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
Semantic Kernel vs GraphRAG — which should I pick in 2026?
Choose Semantic Kernel for enterprise teams on the Microsoft stack. Choose GraphRAG for complex question-answering over big document sets.
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