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Haystack vs LlamaIndex

HaystackLlamaIndex

Bottom line: Haystack for teams building production RAG and search; LlamaIndex for document-heavy RAG applications.

HaystackHaystack

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

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LlamaIndexLlamaIndex

Data framework for LLM apps and knowledge agents

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAi Agents
Tags
ragllm-frameworkopen-sourcesearchpipelines
llm-frameworkragdocument-parsingopen-sourceknowledge-agents
Best for
  • Teams building production RAG and search
  • Enterprises wanting self-hostable NLP pipelines
  • Developers who prefer explicit, typed pipelines
  • Document-heavy RAG applications
  • Enterprise knowledge agents
  • Teams needing reliable PDF parsing
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
  • Open-source frameworks are free (MIT)
  • Strong focus on retrieval and data quality
  • LlamaParse excels at complex document parsing
  • Managed LlamaCloud for production data workflows
  • Python and TypeScript support
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  • 2.x rewrite means older 1.x tutorials are outdated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
  • Overlaps with LangChain, adding decision fatigue
  • LlamaCloud credit costs scale with document complexity
  • Framework surface area has grown large
  • Fast-moving APIs can change between versions
  • Advanced agent features less mature than dedicated agent frameworks

Comparison generated from each tool's listing. Add or remove tools above to change it.