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Production-ready LLM framework focused on RAG pipelines. Modular components for retrieval, generation and evaluation.

17,000 stars🍴 0 forksPythonragpipelinesproduction

About Haystack

Haystack is a Python open-source ai frameworks project by deepset-ai. Production-ready LLM framework focused on RAG pipelines. Modular components for retrieval, generation and evaluation. With 17,000 GitHub stars and 0forks, it's one of the AI Frameworks tools worth knowing. You can download the source, browse it on GitHub, or read the full setup guide in the README below.

From the project README

<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>

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This is an excerpt from the project's own README, quoted here for reference. Read the full README on GitHub →

Haystack — FAQ

What is Haystack?

Production-ready LLM framework focused on RAG pipelines. Modular components for retrieval, generation and evaluation.

Is Haystack free to use?

Yes. Haystack is open-source and free. You can browse the source on GitHub or download it here at no cost — no signup required.

How do I install and run Haystack?

Download the latest source as a ZIP from GitHub (or clone the main branch), then follow the setup steps in the README below.

What language is Haystack written in?

Haystack is primarily written in Python.

How popular is Haystack?

Haystack has 17,000 stars and 0 forks on GitHub — a useful signal of how actively it's maintained and trusted by developers.

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