LangChain vs Semantic Kernel

A detailed comparison to help you choose between LangChain and Semantic Kernel.

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Verdict: Semantic Kernel wins

Semantic Kernel scores 4.8/5, edging out LangChain at 4.6/5. Try Semantic Kernel if you need a top-rated option.

LangChain

Framework for LLM-powered applications

Semantic Kernel

Microsoft's orchestration framework for building AI agents with LLMs

Rating4.6 (undefined reviews)4.8 (undefined reviews)
Pricing Model
Starting PriceFree tier availableFree tier available
Best For
Free Tier
API Access
Team Features
Open Source
Tags
open sourceapi access
free tieropen sourceapi access

LangChain

Pros

  • + Massive ecosystem of integrations
  • + Flexible agent architecture
  • + Python and JS SDKs

Cons

  • - Steep learning curve
  • - Rapidly changing API
View full LangChainreview →

Semantic Kernel

Pros

  • + Integrate multiple LLM providers through a single interface
  • + Define custom plugins and functions for AI agents to call
  • + Built-in memory and context management for multi-turn interactions
  • + Strong Microsoft ecosystem integration (Azure, Copilot)
  • + Active open-source development with regular updates

Cons

  • - Steeper learning curve compared to simpler LLM libraries
  • - C# support more mature than Python implementation
  • - Requires managing your own LLM API keys and costs
View full Semantic Kernelreview →

Frequently Asked Questions

Which is better, LangChain or Semantic Kernel?
Semantic Kernel scores higher at 4.8/5 vs 4.6/5 for LangChain, making it the better-rated option in our comparison.
What is the difference between LangChain and Semantic Kernel?
Both are AI tools, but they serve different use cases. Visit each tool's page for details.
Is LangChain or Semantic Kernel more affordable?
LangChain pricing varies, Semantic Kernel pricing varies. Check the comparison table above for current pricing.

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