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Haystack

Haystack

AI Agent Framework Open Source

AI orchestration framework to build customizable, production-ready LLM applications.

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Haystack is an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), document search, question answering or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.

Haystack at a Glance

Pricing
Free
How you use it
Python package
Who it's for
Teams building production AI systems
On GitHub
26,896 stars · Apache-2.0 licence · last updated Oct 2026
Works with
OpenAI Mistral Anthropic Cohere Hugging Face Google Azure OpenAI AWS Bedrock

Website last checked 28 Oct 2026

Haystack Key Features

  • Explicit communication among components to fit tech stacks.
  • Extensible for community and third-party components.
  • Flexible all-in-one tooling for database access, file conversion, cleaning, splitting, and evaluation.
  • Technology agnostic allowing users flexibility with models from OpenAI, Cohere and Hugging Face.

Haystack Use Cases

  • Build retrieval augmented generation (RAG) applications.
  • Conduct semantic search according to meaning.
  • Perform natural language question answering.
  • Support complex decision-making for customer queries.

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