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Update haystack-tutorials README.md #303

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Mar 11, 2024
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<img alt="" src="https://raw.githubusercontent.com/deepset-ai/.github/main/haystack-logo-colored.png#gh-light-mode-only" width="30%"/>
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<strong><a href="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/deepset-ai/haystack">Haystack</a></strong> is an open source LLM framework by <strong><a href="https://deepset.ai">deepset</a></strong> to help you build production ready applications. Haystack is designed to help you build systems that work intelligently over large document collections to perform tasks like document retrieval, text generation, question answering, or summarization. It achieves this with the concept of <strong>Pipelines</strong> consisting of various <strong>Components</strong> such as a <strong>DocumentStore</strong>, a <strong>Retriever</strong>, and a <strong>PromptNode</strong>.
[**Haystack**](https://github.com/deepset-ai/haystack) is an聽open source framework by [**deepset**](https://deepset.ai)聽for building production-ready聽**LLM applications**,聽**retrieval-augmented generative pipelines**聽and聽**state-of-the-art search systems**聽that work intelligently over large document collections. It lets you quickly try out the latest models in natural language processing (NLP) while being flexible and easy to use.

This is the repository where we keep all the Haystack tutorials 馃摀 馃憞 These tutorials are also published to the [Haystack Website](https://haystack.deepset.ai/tutorials/).

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