Access world-class, thorough documentation with lots of practical examples, so that users can start building and integrating high-quality features immediately.
HAYSTACK
THE PRODUCTION-GRADE
OPEN SOURCE AI FRAMEWORK
Build custom AI agents and applications with our intuitive and comprehensive framework for modular LLM orchestration.
Used by Leading Enterprises Everywhere
the ultimate framework for ai development
Haystack is an open source Python framework that stands out for building custom, production-grade LLM applications, offering extensive documentation, modularity, customizability, serialization, and robust production support—making it the go-to choice for building reliable AI solutions.
Comprehensive Documentation
Composable Pipelines
Haystack is deeply modular, so in addition to starting with pre-built pipelines, you can build highly customized graphs for your preferred architecture. This flexibility also allows you to extend your initial prototype in multiple directions by adding, removing, or updating components.
Custom Components
Write your own custom code and retain complete control over their applications. To meet your organization's unique or legacy requirements, add your own logic and seamlessly integrate it into your Gen AI pipelines.
Components Library
Haystack has a large library of components that can perform different tasks. They can manage language models, route input, or invoke external tools. You can build pipelines by connecting components.
Production-Grade Stability
Haystack pipelines are fully serializable so you can store and manage pipeline configurations externally and deploy in any environment. Logging and monitoring integrations give you the transparency you need. Our deployment guides walk you through full-scale deployments on all clouds and on-prem.
The Foundation for Gen AI Success
Haystack isn’t just the leading framework for production-grade LLM orchestration—it’s the foundation of the deepset AI platform.
Your mission critical agents & applications
Cloud / On Premise
Industry-Specific
Internal / Customer facing
Build, Test, Deploy, Monitor
Haystack OSS LLM Orchestration Framework
Any Model
Any Data
The Community for Enterprise AI Builders
Featured integrations
FAQ
What is Haystack?
Haystack is an open-source Python framework for building custom, production-grade LLM agents and applications. It offers modular pipelines, a rich library of components, and the ability to integrate custom code for tailored solutions. With production-ready features like serialization, logging, and deployment guides, Haystack supports seamless deployments on any cloud or on-premise environment.
What is an LLM orchestration framework?
An LLM orchestration framework, like Haystack, provides the tools and abstraction layer needed to build and manage advanced AI workflows. It supports capabilities like chaining prompts and models, retrieving data from external sources, integrating APIs, and maintaining statefulness across interactions. These frameworks also include templates, monitoring, evaluation, and deployment tools to streamline generative AI application development.
Who is Haystack for?
Haystack is designed for a wide range of users, including AI engineers, developers, data scientists, and software developers seeking to build scalable, customizable AI solutions. It caters to technical experts who want fine-grained control over AI workflows and newcomers looking for an intuitive framework to get started with LLM-powered agents and applications.
Why do developers choose Haystack?
Developers choose Haystack for its modular approach to AI solution development, offering fine-grained control, production readiness, and seamless integration with state-of-the-art AI models. With clear, well-maintained documentation and a strong community of enterprise developers, Haystack enables fast iteration and scalability, helping teams build AI solutions that are adopted and deliver real-world impact.
How does Haystack enable production-ready AI?
Haystack’s modular architecture, robust documentation, and enterprise community contributions provide fine-grained control for building and scaling custom AI agents and applications. It supports seamless integration with data sources, AI models, and other compound AI components, ensuring enterprise-grade performance, scalability, and reliability in real-world deployments.