LlamaIndex vs Semantic Kernel: Head-to-Head Comparison

Quick Verdict

LlamaIndex is the better pick for retrieval-augmented generation over your own data. Semantic Kernel is the better pick for .NET and enterprise teams on Azure.

---

At a Glance

Feature	LlamaIndex	Semantic Kernel
Best For	Retrieval-augmented generation over your own data	.NET and enterprise teams on Azure
Pricing	Free and open source	Free and open source
Free to Start	Yes	Yes
License	Open source	Open source
Deployment	Library / framework in your stack	Library / framework in your stack
Link	Visit LlamaIndex	Visit Semantic Kernel

---

Detailed Breakdown

LlamaIndex

Data framework for LLM apps and RAG

Pros:

• Strong ingestion and indexing
• Many data connectors
• Agent workflows

Cons:

• Overlaps with LangChain
• Learning curve

---

Semantic Kernel

Microsoft SDK for building AI agents

Pros:

• C#, Python and Java SDKs
• Enterprise focus
• Azure integration

Cons:

• Microsoft-centric
• Microsoft is consolidating it into the newer Agent Framework

---

Key Differences

• Positioning: LlamaIndex — data framework for LLM apps and RAG. Semantic Kernel — Microsoft SDK for building AI agents.
• Both share the same licensing model (open source), so the decision comes down to features and workflow fit.
• Pricing: LlamaIndex — free and open source. Semantic Kernel — free and open source.
• Signature strength: LlamaIndex — strong ingestion and indexing. Semantic Kernel — C#, Python and Java SDKs.

---

Frequently Asked Questions

Is LlamaIndex better than Semantic Kernel?

It depends on your requirements. LlamaIndex is a strong fit for retrieval-augmented generation over your own data, while Semantic Kernel suits .NET and enterprise teams on Azure.

Is LlamaIndex free to use?

Yes, you can start with LlamaIndex for free. Pricing model: Free and open source.

Is Semantic Kernel free to use?

Yes, you can start with Semantic Kernel for free. Pricing model: Free and open source.

Can I self-host LlamaIndex or Semantic Kernel?

LlamaIndex runs inside your own stack: library / framework in your stack. Semantic Kernel runs inside your own stack: library / framework in your stack.

What are the main drawbacks of LlamaIndex and Semantic Kernel?

LlamaIndex: overlaps with LangChain; learning curve. Semantic Kernel: Microsoft-centric; Microsoft is consolidating it into the newer Agent Framework.