Semantic Kernel vs LlamaIndex(2026)
Semantic Kernel is better for teams that need best .net support. LlamaIndex is the stronger choice if best-in-class for rag. Semantic Kernel is open-source (from $0) and LlamaIndex is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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Semantic Kernel
Semantic Kernel is Microsoft's open-source AI SDK that enables developers to integrate LLMs into .NET, Python, and Java applications with plugins, memory, and multi-agent orchestration.
Starting at $0
Visit Semantic KernelLlamaIndex
LlamaIndex is a data framework for LLM applications specializing in connecting LLMs to external data sources — with best-in-class RAG pipelines, data connectors, and indexing strategies.
Starting at $0
Visit LlamaIndexHow Do Semantic Kernel and LlamaIndex Compare on Features?
| Feature | Semantic Kernel | LlamaIndex |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Plugin architecture | ✓ | — |
| Memory management | ✓ | — |
| Multi-agent orchestration | ✓ | — |
| .NET/Python/Java | ✓ | — |
| Azure OpenAI integration | ✓ | — |
| Process framework | ✓ | — |
| Planners | ✓ | — |
| RAG pipelines | — | ✓ |
| 100+ data connectors | — | ✓ |
| Multi-modal support | — | ✓ |
| Agents | — | ✓ |
| Query engines | — | ✓ |
| Observability | — | ✓ |
| Python + TypeScript | — | ✓ |
Semantic Kernel Pros and Cons vs LlamaIndex
Semantic Kernel
LlamaIndex
Should You Use Semantic Kernel or LlamaIndex?
Choose Semantic Kernel if…
- •Best .NET support
- •Enterprise-grade (Microsoft)
- •Strong Azure integration
Choose LlamaIndex if…
- •Best-in-class for RAG
- •Rich data connectors
- •Strong enterprise adoption