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Haystack vs Semantic Kernel(2026)

Haystack is better for teams that need production-grade reliability. Semantic Kernel is the stronger choice if best .net support. Haystack is open-source (from $0) and Semantic Kernel is open-source (from $0).

Full feature breakdown, pricing details, and pros & cons below.

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Haystack logo

Haystack

open-source

Haystack by deepset is an open-source LLM framework for building production-ready search and question-answering pipelines with modular components and enterprise reliability.

Starting at $0

Visit Haystack
Semantic Kernel logo

Semantic Kernel

open-source

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 Kernel

How Do Haystack and Semantic Kernel Compare on Features?

FeatureHaystackSemantic Kernel
Pricing modelopen-sourceopen-source
Starting price$0$0
Modular pipeline architecture
Document stores
Retrieval pipelines
Prompt builder
Evaluation tools
REST API deployment
Enterprise support
Plugin architecture
Memory management
Multi-agent orchestration
.NET/Python/Java
Azure OpenAI integration
Process framework
Planners

Haystack Pros and Cons vs Semantic Kernel

H

Haystack

+Production-grade reliability
+Modular architecture
+Strong evaluation tools
+Well-suited for search
Smaller community than LangChain
Less agent support
Python only
S

Semantic Kernel

+Best .NET support
+Enterprise-grade (Microsoft)
+Strong Azure integration
+Multi-language
.NET bias despite multi-language
Steeper learning curve
More opinionated than LangChain

Should You Use Haystack or Semantic Kernel?

Choose Haystack if…

  • Production-grade reliability
  • Modular architecture
  • Strong evaluation tools

Choose Semantic Kernel if…

  • Best .NET support
  • Enterprise-grade (Microsoft)
  • Strong Azure integration

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