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19 lines
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19 lines
1.5 KiB
Plaintext
---
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id: "intro"
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title: "Introduction to Haystack"
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slug: "intro"
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excerpt: "Haystack is an **open-source framework** for building production-ready **LLM applications**, **retrieval-augmented generative pipelines** and **state-of-the-art search systems** that work intelligently over large document collections. Learn more about Haystack and how it works."
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hidden: false
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createdAt: "Tue Aug 16 2022 10:08:21 GMT+0000 (Coordinated Universal Time)"
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updatedAt: "Tue Apr 29 2025 12:43:41 GMT+0000 (Coordinated Universal Time)"
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---
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:::info 👍 Welcome to Haystack
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To skip the introductions and go directly to installing and creating a search app, see the [Get Started](/docs/Overview/get-started) page.
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:::
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Haystack is an end-to-end framework that you can use to build powerful and production-ready pipelines with Large Language Models (LLMs) for different search use cases. Whether you want to perform retrieval-augmented generation (RAG), question answering, or semantic document search, you can use the state-of-the-art LLMs and NLP models in Haystack to provide custom search experiences and make it possible for your users to query in natural language.
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Haystack is built in a modular fashion so that you can combine the best technology from OpenAI, Chroma, Marqo, and other open source projects, like Hugging Face's Transformers or Elasticsearch.
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The core foundation of Haystack are components and pipelines together with Document Stores, Tools and a multitude of integrations. Read more about Haystack concepts in the [Haystack Concepts Overview](doc:components_overview).
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