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Haystack

Haystack: A modular Python framework for customizable RAG pipelines, agents, and semantic search. Ranked #2 of 26 in Retrieval-Augmented Generation Tools by our editors (9.2/10); pricing: Open source; best for developers building flexible RAG pipelines.

9.2/10Editor score
Haystack9.2 Visit Haystack

At a glance

  • Editor score
    9.2 / 10
  • Pricing
    Open source
  • Best for
    Developers building flexible RAG pipelines
  • Paid from
    Free
  • Source citations
    Yes
  • Founded
    2018 · Berlin, Germany
  • Facts checked
    22 Sep 2026
Haystack screenshot
  • Where it wins

    • Composable pipelines support hybrid retrieval, reranking, and cited answers
    • Broad document conversion covers PDFs, DOCX, HTML, JSON, CSV, and images
    • Integrates with major model providers, vector databases, and monitoring tools
  • Where it doesn't

    • Self-hosted deployment places infrastructure responsibility on the development team
    • The framework has no metered SaaS pricing model
    • Hosted platform and enterprise support are separate deepset offerings

Our verdict on Haystack

Haystack is an open-source Python framework for developers building RAG systems, AI agents, multimodal applications, semantic search pipelines, and other LLM applications. Its reusable components let teams assemble inspectable workflows for retrieval, ranking, generation, tool use, memory, evaluation, and integrations. Self-hosted deployment makes it suited to teams that need to run applications in their own infrastructure and control how their pipelines are structured.

Its strongest technical fit is for retrieval workflows that need more than basic vector search. Haystack combines keyword and embedding search for hybrid retrieval, supports API-based, local, and heuristic rerankers, and can construct answers with referenced documents and metadata. It also converts PDFs, DOCX, HTML, JSON, CSV, images, and other document types. Mermaid graphs provide pipeline visualization, while integrations include OpenAI, Anthropic, Mistral, Hugging Face, Amazon Bedrock, Weaviate, Pinecone, and Elasticsearch.

The pricing model is straightforward: Haystack itself is an open-source framework rather than a metered SaaS product. deepset separately offers paid enterprise support and a hosted platform, giving organizations an additional commercial path around the framework. The tradeoff is that teams choosing the open-source framework take on deployment and pipeline design themselves. Haystack is a strong choice for developers who value composability, inspectability, hybrid retrieval, citations, and ecosystem flexibility. Teams seeking a fully managed RAG service with an included hosted operating model should consider the separate deepset offerings instead.

Your product? Our editors can test Haystack in depth and publish a review, labelled as paid · from $149/mo →

Haystack pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on haystack.deepset.ai

Haystack fact sheet

Free planNot verified
Paid fromFree
Source citationsYes
Hybrid searchYes
Result rerankingYes
Source connectorsNot verified
DeploymentSelf_hosted
RAG workflow builderYes
Maximum file sizeNot verified
DeploymentSelf-hosted
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations183+ integrations: OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone … See all →
PricingOpen source
Websitehaystack.deepset.ai
Facts checked22 Sep 2026

Haystack integrations

Haystack lists 183+ integrations on its own site — the 8 named here are the ones its pages call out.

  • OpenAI
  • Anthropic
  • Mistral
  • Hugging Face
  • Weaviate
  • Pinecone
  • Elasticsearch
  • Amazon Bedrock

See all Haystack integrations →

Alternatives to Haystack

See all Haystack alternatives →

Haystack vs the competition

Compare Haystack with any tool side by side →

Also Ranked In

Haystack is ranked in 6 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Haystack 9.2/10

Haystack is listed in our Retrieval-Augmented Generation Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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