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Haystack

Haystack

Apache-licensed Python framework for modular RAG pipelines, search, agents, tools, and model integrations

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What this product helps you do

Haystack is an Apache-2.0 Python framework for building retrieval-augmented generation, semantic search, question answering, indexing, and agentic applications. Developers connect components into directed pipelines, select document stores and model providers, add tools, serialize configurations, and extend the framework with custom components or integrations. The library is free and self-managed; model calls, vector databases, storage, observability, sandboxing, deployment, and operations are separate responsibilities. deepset also sells a Haystack Enterprise Platform, but that commercial product is distinct from the open-source framework represented by this listing.

Problems it solves

  • AI teams need reusable components for retrieval, generation, indexing, and tool-driven workflows
  • Applications need to change model or database providers without replacing the entire orchestration layer
  • RAG and agent prototypes need a maintainable path into tested Python services
  • Developers need explicit pipeline structure, serialization, tracing hooks, and extensibility
Best for
Python teams building custom RAG or semantic-search applicationsDevelopers who need provider choice across models and document storesEngineering teams designing tool-using or multi-step AI workflowsOpen-source adopters prepared to own deployment and operations

Haystack is deepset's Apache-licensed Python framework for composing retrieval, indexing, generation, search, and agent components into explicit pipelines. It supports multiple model and data providers plus custom integrations.

The framework is free and self-managed. Teams still provide and pay for models, databases, infrastructure, monitoring, security, evaluation, and operations; deepset's commercial Enterprise Platform is separate.

Information

DeveloperDeepset
Languagesen
Pricing modelfree
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