Haystack

What is Haystack?

Haystack is an open-source AI orchestration framework from deepset for Python developers who build agents, retrieval-augmented generation systems and multimodal applications. You assemble pipelines from components such as retrievers, routers, memory layers, tools, rankers, evaluators and generators, with loops and branches for multi-step logic. Each piece can be tested or swapped on its own, so changing a model provider or vector database does not mean rewriting the app. Haystack connects to OpenAI, Anthropic, Mistral, Hugging Face, Weaviate, Pinecone and Elasticsearch, and pipelines can be served as REST APIs or MCP servers with Hayhooks. The framework is free to install with pip. For companies, deepset sells Haystack Enterprise Starter, which adds private engineering support, pipeline templates and Helm charts, with pricing based on company size, and a separate AI Orchestration Platform for visual pipeline design. A separate pricing page for the open-source framework does not exist.

Use cases

• Build RAG pipelines over documents
• Create AI agents with tool calling
• Add multimodal image and audio steps
• Serve pipelines as REST or MCP
• Generate content from Jinja templates
• Trace and evaluate retrieval quality

Who it's for

• Python developers
• AI engineers
• Enterprise AI teams

Why use Haystack

• Explicit pipelines show how context flows into the model, which makes debugging retrieval and tool use easier.
• You can replace a model, ranker or vector store without redoing the surrounding system.
• The framework is open source with a stated commitment against gated community features or license changes.
• Pipelines are serializable and deployable on Kubernetes, so a prototype can move toward production with the same building blocks.
• Paid support is optional, available only if your team wants private guidance.

Haystack features

• Modular pipelines of retrievers, routers, rankers and generators
• Agents with standardized tool calling
• Branching and looping pipeline logic
• Hybrid retrieval and self-correction loops
• Multimodal support for images and audio transcription
• Jinja-2 prompt templates
• Serializable, Kubernetes-ready pipelines
• Tracing, logging and evaluation tools
• Hayhooks for REST API and MCP server deployment

Haystack integrations

• OpenAI
• Anthropic
• Mistral
• Hugging Face
• Weaviate
• Pinecone
• Elasticsearch
• Open WebUI
• Kubernetes

How to get started with Haystack

1. Install the framework with pip install -U haystack-ai in a Python environment.
2. Assemble a pipeline from components such as a retriever, ranker and generator, and connect your model provider and document store.
3. Add branches, loops or agent tools if the task needs multiple steps, then test and trace the run.
4. Serve the pipeline with Hayhooks as a REST API or MCP server, or contact deepset about Enterprise support.

Haystack limitations

• A code-first Python framework, so it needs developers rather than a no-code editor
• Enterprise Starter support and the AI Orchestration Platform are separate paid offerings
• The haystack.deepset.ai/pricing page returns a 404; enterprise prices are not published

Haystack pricing

Haystack is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Haystack alternatives

The main Haystack alternatives listed on Debuly are LangChain, LlamaIndex, LangGraph, Semantic Kernel, CrewAI and Agno. The table compares pricing and platforms; order is A–Z.

1. 

   Agno

   Python framework and AgentOS runtime for building agents, teams and workflows, then serving them as an API with a control plane.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Agno (official site)
2. 

   CrewAI

   Multi-agent framework and platform for building AI agent crews in Python or a visual editor, then deploying and monitoring them.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit CrewAI (official site)
3. 

   LangChain

   Open-source framework for building LLM agents, paired with LangSmith for tracing, evals and agent deployment.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit LangChain (official site)
4. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
5. 

   LlamaIndex

   Open-source framework plus the LlamaParse platform for parsing, extracting and indexing documents so LLM apps can use them.

   Developer platformsResearch and searchAutomation and agents
   FreemiumVisit LlamaIndex (official site)
6. 

   Semantic Kernel

   Microsoft's open-source SDK for building AI agents and multi-agent systems in Python, .NET and Java, now succeeded by Microsoft Agent Framework.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Semantic Kernel (official site)

Haystack FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from haystack.deepset.ai · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.