Haystack

Open-source framework for building production-grade AI agents and RAG

Advanced API
Screenshot of Haystack, Open-source framework for building production-grade AI agents and RAG

What is Haystack?

Haystack is an open-source Python framework from deepset for building production-ready AI agents, RAG pipelines and LLM apps from modular components, with optional enterprise support and a visual orchestration platform.

Haystack is an open-source AI orchestration framework for building LLM-powered agents and applications. It is installed as a Python package (haystack-ai) and gives developers modular, composable building blocks for each stage of an AI system: retrieval, reasoning, memory and tool use. The project is maintained by deepset and has a large community following, with more than 26 thousand GitHub stars and an active Discord server. In practice, work is organised around pipelines. A pipeline connects components such as retrievers, generators and tools, and it can branch and loop, which makes multi-step decision flows and self-correction patterns possible. Prompts can be built with Jinja-2 templates, and generators share a standardized interface, so swapping one model provider for another does not require rewriting the surrounding logic. Pipelines are serializable, cloud-agnostic and Kubernetes-ready, and the documentation includes logging, monitoring and deployment guides. The framework stresses transparency: every step can be inspected, debugged and tuned. The homepage lists use cases including advanced RAG with hybrid retrieval, conversational bots, content generation engines, multimodal apps that handle images and audio transcription, and tool-calling agents. It names connections to OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone and Elasticsearch, framed as an open architecture without vendor lock-in. The audience is software and ML engineers who want code-level control rather than a no-code builder. Beyond the free framework, deepset offers two paid-adjacent tiers: Enterprise Support, with private engineering help, deployment templates and pricing based on company size, and an AI Orchestration Platform with visual pipeline design, testing workflows, access controls and cloud or on-prem deployment. Compared with other agent and RAG frameworks, Haystack leans toward explicit, inspectable pipelines and production operations over rapid, opinionated abstractions. Teams that prefer a hosted visual tool will find the platform tier more relevant than the library alone.

How do you use Haystack?

  1. 1Install the package
    Run pip install haystack-ai in a Python environment to get the core framework.
    Haystack — Install the package
  2. 2Follow the quick start
    Work through the quick start guide to build and run a first pipeline from components.
  3. 3Connect a model and data store
    Choose a generator and a retriever from supported providers such as OpenAI or Elasticsearch and add them as pipeline components.
  4. 4Add tools or branching logic
    Extend the pipeline with tool calling, loops or branches to turn a RAG flow into an agent with multi-step decisions.
  5. 5Check release notes and deploy
    Review the latest release notes before upgrading, then serialize the pipeline and deploy it using the deployment guides.
    Haystack — Check release notes and deploy

Pros and cons

Pros

  • Open-source framework installable with a single pip command, free to use with community supportAI
  • Modular pipelines support branching and looping for complex multi-step agent workflowsAI
  • Open architecture connects to many model providers and vector stores without vendor lock-inAI
  • Pipelines are serializable, cloud-agnostic and Kubernetes-ready, with logging and monitoring guidesAI
  • Optional enterprise support and a visual platform give teams a path from prototype to scaleAI

Cons

  • Code-first Python framework, so it is not suited to non-developers wanting a no-code builderAI
  • Pipeline and component concepts add a learning curve compared with thin LLM wrapper librariesAI
  • Enterprise support and platform pricing are not published, only described as based on company sizeAI
  • Visual pipeline design and access controls sit in the separate paid platform, not the open-source libraryAI

How much does Haystack cost?

Free trial

The deepset AI Orchestration Platform, built on Haystack, is offered to try for free. The open-source framework itself needs no trial.

Learn more

Pricing

The Haystack framework is open source and free, with community support. Enterprise Support has flexible pricing based on company size, and the AI Orchestration Platform can be tried for free. No specific prices are listed.

Learn more

Support

Community support via Discord and GitHub for the open-source framework. Paid Enterprise Support adds private engineering help, best-practice templates and deployment guides.

Integrations

Connects to OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone, Elasticsearch and more, with no vendor lock-in.

Features

Modular pipelines with branching and looping, agents with standardized tool calling, advanced RAG with hybrid retrieval, Jinja-2 prompt templates, multimodal support, serializable Kubernetes-ready pipelines, plus logging, monitoring and deployment guides.

Frequently asked questions about Haystack

  • How much does Haystack cost?
    The Haystack framework is open source and free, with community support. Enterprise Support has flexible pricing based on company size, and the AI Orchestration Platform can be tried for free. No specific prices are listed.
  • Does Haystack offer a free trial?
    The deepset AI Orchestration Platform, built on Haystack, is offered to try for free. The open-source framework itself needs no trial.
  • Does Haystack have an API?
    Yes, Haystack offers an API.
  • How do you use Haystack?
    The walkthrough on this page covers 5 steps: 1. Install the package 2. Follow the quick start 3. Connect a model and data store 4. Add tools or branching logic 5. Check release notes and deploy.
  • What platforms does Haystack support?
    Haystack is available on Linux, MacOS and Windows.
  • What does Haystack integrate with?
    Connects to OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone, Elasticsearch and more, with no vendor lock-in.

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Added10/8/2026

Platforms

LinuxMacOSWindows

Pricing

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