Haystack is an open-source framework for orchestrating large language models to build production-ready search, retrieval, and multi-agent workflows.
What it is
Haystack is an open-source framework designed for building production-grade language model workflows, retrieval-augmented generation pipelines, and autonomous AI agents. Developers use its modular components to construct customized systems that connect large language models with external data sources and APIs.
Key features
- Modular architecture supporting custom retrieval, reasoning, and memory components
- Open integration with major providers like OpenAI, Anthropic, Mistral, and Hugging Face vector databases
- Composable building blocks for transitioning smoothly from prototypes to enterprise production systems
- Kubernetes-ready, serializable pipelines featuring logging and monitoring capabilities
- Support for multimodal tasks including audio transcription and image processing
Who it's for
Haystack is built for software engineers, data scientists, and developers who need to construct, test, and scale customized language model applications and autonomous agent pipelines in production environments.
Pricing
Haystack is available as an open-source framework with free community support. Enterprise support options and commercial platform tiers feature flexible pricing based on company size and infrastructure needs.
Use cases
- Build RAG pipelines
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