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LlamaIndex Agents vs Semantic Kernel
Side-by-side comparison of LlamaIndex Agents and Semantic Kernel — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | LlamaIndex Agents | Semantic Kernel | Winner |
|---|---|---|---|
Ease of Use | 4/5 | 4/5 | Tie |
Scalability | 4/5 | 4/5 | Tie |
Documentation | 5/5 | 4/5 | LlamaIndex Agents |
Community | 5/5 | 4/5 | LlamaIndex Agents |
Performance | 4/5 | 4/5 | Tie |
Overall: LlamaIndex Agents wins 2 categories, Semantic Kernel wins 0, 3 tied
Feature Comparison
| Feature | LlamaIndex Agents | Semantic Kernel |
|---|---|---|
| Primary Language | Python | C# |
| License | MIT | MIT |
| Pricing | Open Source + Cloud | Open Source |
| GitHub Stars | 44,600 | 26,300 |
| Difficulty | Intermediate | Intermediate |
| Enterprise Ready | ||
| Community Size | Very Large | Large |
| Category | RAG & Knowledge | Enterprise Integration |
Pros & Cons
LlamaIndex Agents
Advantages
Best-in-class for RAG applications
Excellent data connectors and loaders
Strong documentation and examples
Active community and development
MIT license
LlamaCloud for managed services
Works well with LangChain
Limitations
Primarily focused on RAG not general agents
Agent features less mature than core RAG
Can be complex for simple use cases
LlamaCloud requires subscription
Semantic Kernel
Advantages
Strong Microsoft ecosystem integration
Multi-language support (C# Python Java)
Enterprise-grade quality and support
Good for .NET developers
Plugin architecture is flexible
MIT license
Limitations
Optimized primarily for Azure ecosystem
Less community adoption than LangChain
Documentation can be overwhelming
C# focus may alienate Python-first developers
Smaller integration ecosystem
Best Use Cases
LlamaIndex Agents
Document Q&A systems
Knowledge base retrieval
Semantic search applications
Chat over documents
Agent-based data retrieval
Research assistants
Semantic Kernel
Enterprise application integration
Plugin-based AI systems
Multi-language AI applications
Microsoft ecosystem integration
Enterprise chatbots and assistants
Getting Started
LlamaIndex Agents
Installation
pip install llama-index
Semantic Kernel
Installation
Install via NuGet or pip
Learn More
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