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Free plan + paidInformation reviewed 2026-10-15

Haystack

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About this listing

Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.

Official source

An open-source Python framework for retrieval pipelines, document indexing, and tool-using AI agents.

Best suited to

Haystack suits developers assembling a document-grounded application from explicit components.

Meet Haystack

Haystack suits developers assembling a document-grounded application from explicit components. Indexing, retrieval, routing and generation can form a pipeline, while agents add tool use where the task needs it. The framework allows model and data-store choices; a managed enterprise offering is separate from operating the free software on your own infrastructure.

A practical workflow

  1. Install the framework and select a supported document store and model.
  2. Build a small indexing pipeline for permitted documents.
  3. Connect retrieval and generation components for one question type.
  4. Inspect returned evidence and test missing-document and failure cases.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Answer a question from a small policy collection and return the document passages that support the answer; report when no passage matches.

Result check: Check retrieval selected the relevant version and ensure the generated answer does not add an unsupported policy.

Access and alternatives

The open-source framework can be used without a software subscription; enterprise platform and support access are paid. Self-hosted deployment still needs storage, compute and possibly paid models. No free hosted inference is implied by the framework license.

Choose another workflow when its emphasis fits better: RAGFlow for a document-retrieval application; Dify for a more visual application-building workflow.

Illustrative workspace photo
Illustrative stock photo from Unsplash; not a screenshot of Haystack.

What you can do

Document indexing pipelines

Retrieval and generation components

Routing and branching

Tool-using agents

Model and vector-store integrations

Where it helps

  • Components make the retrieval workflow explicit
  • Model and store choices support different deployments
  • Pipelines and agents can address distinct tasks

What to consider

  • Operating the pipeline requires engineering setup
  • Model and infrastructure charges are separate

Pricing & free access

Official pricing
Free plan + paid

The open-source framework can be used without a software subscription; enterprise platform and support access are paid. Self-hosted deployment still needs storage, compute and possibly paid models. No free hosted inference is implied by the framework license.

Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.

Source for access details

Get free-plan changes by email

One email a week: new free AI tools, prompts and free-plan changes. No spam, unsubscribe any time.

Questions about Haystack

Who is Haystack useful for?

Haystack suits developers assembling a document-grounded application from explicit components. Indexing, retrieval, routing and generation can form a pipeline, while agents add tool use where the task needs it. The framework allows model and data-store choices; a managed enterprise offering is separate from operating the free software on your own infrastructure.

Does Haystack have continuing free access?

The open-source framework can be used without a software subscription; enterprise platform and support access are paid. Self-hosted deployment still needs storage, compute and possibly paid models. No free hosted inference is implied by the framework license.

How should I start a small evaluation?

Install the framework and select a supported document store and model. Build a small indexing pipeline for permitted documents.

What should I check in the result?

Check retrieval selected the relevant version and ensure the generated answer does not add an unsupported policy.

When should I choose a different workflow?

RAGFlow for a document-retrieval application; Dify for a more visual application-building workflow.

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Review evidence

Documentation-based review · 2026-10-15

Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.

Put it to work

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