Side-by-Side Comparison · 2026

Haystack vs Semantic Kernel: Full Comparison (2026)

Haystack is open-source framework for production nlp and rag pipelines. Semantic Kernel is microsoft's open-source sdk for ai orchestration. Use the breakdown below to find the right fit for your needs.

Haystack

deepset

Free
vs

Semantic Kernel

Microsoft

Free
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.

Side-by-Side Overview

Pricing Model
Haystack: FreeSemantic Kernel: Free
API Access
Haystack: Not availableSemantic Kernel: Not available
Platforms
Haystack: WebSemantic Kernel: Web
Integrations
Haystack: —Semantic Kernel: —
Vendor
Haystack: deepsetSemantic Kernel: Microsoft
Category
Haystack: FrameworksSemantic Kernel: Frameworks
Launch
Haystack: —Semantic Kernel: —

About Haystack

Haystack by deepset is an open-source framework for building NLP applications, RAG systems, and LLM pipelines. Features a pipeline architecture with 60+ integrations including all major vector databases and LLM providers.

Designed For

  • Document Q&A
  • RAG pipelines
  • Semantic search
  • LLM application development
Full Haystack details

About Semantic Kernel

Semantic Kernel is Microsoft's open-source SDK for integrating LLMs into .NET, Python, and Java applications. Designed for enterprise AI orchestration with plugins, planners, and memory components for building complex AI agents. Microsoft's release candidate of Microsoft Agent Framework, announced on 19 February 2026, came with a guide for migrating Semantic Kernel and AutoGen projects to it.

Designed For

  • Enterprise AI integration
  • AI agents
  • Plugin development
  • Copilot extensions
Full Semantic Kernel details

Strengths & Limitations

Haystack

Strengths

  • Production-ready
  • 60+ integrations
  • Pipeline architecture

Limitations

  • Steeper learning curve
  • Less popular than LangChain

Semantic Kernel

Strengths

  • Multi-language (.NET/Python/Java)
  • Microsoft support
  • Enterprise-focused

Limitations

  • Microsoft ecosystem bias
  • Complex for simple use cases

Frequently Asked Questions

What is the difference between Haystack and Semantic Kernel?

Haystack is open-source framework for production nlp and rag pipelines, while Semantic Kernel is microsoft's open-source sdk for ai orchestration. Haystack is designed for Frameworks; Semantic Kernel is designed for Frameworks. The right fit depends on your specific requirements.

How do the pricing models compare?

Haystack is available under a Free model. Semantic Kernel is available under a Free model. Always verify pricing on each vendor's official website as it may change.

How do I choose between Haystack and Semantic Kernel?

Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.