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Haystack vs Semantic Kernel

HaystackSemantic Kernel

Bottom line: Haystack for teams building production RAG and search; Semantic Kernel for enterprise .NET development teams.

HaystackHaystack

deepset's composable open-source framework for RAG and agent pipelines.

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Semantic KernelSemantic Kernel

Microsoft's enterprise SDK for orchestrating LLMs, plugins, and agents.

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Votes00
PricingFreemiumFree
CategoryAgent FrameworksAgent Frameworks
Tags
ragllm-frameworkopen-sourcesearchpipelines
llm-frameworkagentsopen-sourcemicrosoftdotnet
Best for
  • Teams building production RAG and search
  • Enterprises wanting self-hostable NLP pipelines
  • Developers who prefer explicit, typed pipelines
  • Enterprise .NET development teams
  • Microsoft/Azure-aligned organizations
  • Developers adding AI to existing apps
Pros
  • Composable, typed pipeline model is clear and flexible
  • Apache-2.0 core, free to self-host with no lock-in
  • Strong retrieval and search heritage
  • Broad integrations with model and vector stores
  • Built-in evaluation tooling
  • First-class C#/.NET support, rare among AI frameworks
  • Free and open source
  • Enterprise features: type safety, DI, telemetry
  • Multi-language (C#, Python, Java)
  • Backed by Microsoft with clear Azure integration
Cons
  • Engineering framework, not a turnkey app
  • Managed deepset pricing is largely quote-based
  • 2.x rewrite means older 1.x tutorials are outdated
  • Skews toward retrieval more than general agents
  • Requires pipeline-design comfort
  • Strategic focus shifting to Microsoft Agent Framework
  • Concepts like planners have changed across versions
  • Python support historically trailed .NET
  • Migration planning needed for long-term projects
  • Less multi-agent focus than AutoGen lineage

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