Haystack llms.txt · AI Docs Browser · mdream

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# Haystack llms.txt

Browse Haystack documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools.

haystack.deepset.ai/llms.txt

[Raw llms.txt](https://haystack.deepset.ai/llms.txt) [Raw llms-full.txt](https://haystack.deepset.ai/llms-full.txt)

Copy Markdown [](https://haystack.deepset.ai/llms.txt)

llms.txt

Docs

Concepts Overview

Pipelines

Components

Agents

Integrations Overview

API Reference

Examples

Tutorial on QA Pipeline with RAG

Tutorial on Tool-Calling Agents

Tutorial on Preprocessing

Optional

Haystack GitHub Repository

haystack-experimental GitHub Repository

haystack-core-integrations GitHub Repository

hayhooks GitHub Repository

Tutorials & Walkthroughs

Cookbook

Migration Guide

## What is Haystack's llms.txt?

Haystack publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Haystack offers and where to find details.

Pass

Spec

3

Sections

16

Links

3.1 KB

Size

~802

Tokens

Sections: Docs · Examples · Optional

## Add Haystack Docs to Your AI Assistant

Select your tool to see how to add Haystack's llms.txt as a documentation source.

Cursor

 Windsurf

 Claude Code

 ChatGPT

 Zed

 Copilot

1. 1

   Open any chat or composer panel
2. 2

   Type @Docs and select "Add new doc"
3. 3

   Paste the URL: https://haystack.deepset.ai/llms.txt
4. 4

   Wait for the green dot (indexing complete)
5. 5

   Reference @Docs in chat when asking about Haystack

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Spec Compliance 2 notes

## Frequently Asked Questions

Where is Haystack's llms.txt file?

Haystack publishes its llms.txt at https://haystack.deepset.ai/llms.txt. This file provides a structured, markdown-formatted index of Haystack's documentation that AI systems can consume to understand the project's APIs, guides, and references.

How do I use Haystack's llms.txt with AI coding assistants?

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Haystack's documentation so it can provide better code suggestions and answers about Haystack.

What does Haystack's llms.txt contain?

Haystack's llms.txt contains 3 sections and 16 documentation links in 3.1 KB (~802 tokens). Key sections include Docs, Examples, Optional.

How many tokens does Haystack's llms.txt use?

The concise llms.txt index is approximately 802 tokens (3.1 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

What is Haystack?

Haystack is an end-to-end framework for building powerful and production-ready AI applications with Large Language Models (LLMs). It enables developers to create custom pipelines for agents, retrieval-augmented generation (RAG), question answering (QA), semantic document search, and more. Haystack's modular architecture allows integration of various technologies from Amazon Bedrock, Langfuse, Qdrant, Elasticsearch, Pgvector, Hugging Face Transformers, and more.. Haystack's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Haystack.

Can I generate an llms.txt for my own project?

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

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## Related Tools

[<h3>llms.txt Generator</h3>Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/haystack/tools/llms-txt/generator) [<h3>llms.txt Validator</h3>Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/haystack/tools/llms-txt/validator)

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