---
title: "haystack"
type: "tool"
slug: "deepset-ai-haystack"
canonical_url: "https://www.graphcanon.com/tools/deepset-ai-haystack"
github_url: "https://github.com/deepset-ai/haystack"
homepage_url: "https://haystack.deepset.ai"
stars: 25842
forks: 2901
primary_language: "MDX"
license: "Apache-2.0"
categories: ["ai-agents", "model-training", "inference-serving"]
tags: ["agent", "agents", "ai", "gemini", "generative-ai", "gpt-4", "information-retrieval", "large-language-models"]
updated_at: "2026-07-07T19:42:49.545358+00:00"
---

# haystack

> Open-source AI orchestration framework for building context-engineered, production-ready LLM applications.

Deepset-ai/Haystack is an open-source library that enables the design and implementation of modular pipelines and agent workflows in AI projects. It supports retrieval augmented generation (RAG), multimodal applications, semantic search, question answering systems, summarization, and conversational interfaces with explicit control over aspects such as memory and context management.

## Facts

- Repository: https://github.com/deepset-ai/haystack
- Homepage: https://haystack.deepset.ai
- Stars: 25,842 · Forks: 2,901 · Open issues: 112 · Watchers: 162
- Primary language: MDX
- License: Apache-2.0
- Last pushed: 2026-07-07T16:47:59+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)
- [Model Training](/categories/model-training.md)
- [Inference & Serving](/categories/inference-serving.md)

## Tags

agent, agents, ai, gemini, generative-ai, gpt-4, information-retrieval, large-language-models

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## README (excerpt)

```text
<div align="center">
  <a href="https://haystack.deepset.ai/"><img src="https://raw.githubusercontent.com/deepset-ai/haystack/main/images/banner.png" alt="Blue banner with the Haystack logo and the text ‘haystack by deepset – The Open Source AI Framework for Production Ready RAG & Agents’ surrounded by abstract icons representing search, documents, agents, pipelines, and cloud systems."></a>

|         |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
| ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| CI/CD   |     |
| Docs    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
| Package |         |
| Meta    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
</div>

[Haystack](https://haystack.deepset.ai/) is an open-source AI orchestration framework for building production-ready LLM applications in Python.

Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Build scalable RAG systems, multimodal applications, semantic search, question answering, and autonomous agents, all in a transparent architecture that lets you experiment, customize deeply, and deploy with confidence.

## Table of Contents

- [Installation](#installation)
- [Documentation](#documentation)
- [Features](#features)
- [Haystack Enterprise: Support & Platform](#haystack-enterprise-support--platform)
- [Telemetry](#telemetry)
- [🖖 Community](#-community)
- [Contributing to Haystack](#contributing-to-haystack)
- [Organizations using Haystack](#organizations-using-haystack)


## Installation

The simplest way to get Haystack is via pip:

```sh
pip install haystack-ai
```

Install nightly pre-releases to try the newest features:
```sh
pip install --p
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/deepset-ai-haystack`](/api/graphcanon/tools/deepset-ai-haystack)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_