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chore: use GitHub markdown for warning about beta version in Readme (#6666)

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| Meta | [![Discord](https://img.shields.io/discord/993534733298450452?logo=discord)](https://discord.gg/haystack) [![Twitter Follow](https://img.shields.io/twitter/follow/haystack_ai)](https://twitter.com/haystack_ai) | | Meta | [![Discord](https://img.shields.io/discord/993534733298450452?logo=discord)](https://discord.gg/haystack) [![Twitter Follow](https://img.shields.io/twitter/follow/haystack_ai)](https://twitter.com/haystack_ai) |
</div> </div>
> ⚠️ You are currently looking at the readme of Haystack 2.0-Beta, an unstable version of what will eventually become Haystack 2.0. We are still maintaining Haystack 1.x which is the version of Haystack you should use in production. [Switch to Haystack 1.x, currently on 1.23 here](https://github.com/deepset-ai/haystack/tree/v1.x). > [!WARNING]
> You are currently looking at the readme of Haystack 2.0-Beta, an unstable version of what will eventually become Haystack 2.0. We are still maintaining Haystack 1.x which is the version of Haystack you should use in production. [Switch to Haystack 1.x, currently on 1.23 here](https://github.com/deepset-ai/haystack/tree/v1.x).
[Haystack](https://haystack.deepset.ai/) is an end-to-end LLM framework that enables you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), documentation search, question answering or answer generation, you can use state-of-the-art embedding models and LLMs with Haystack to build end-to-end NLP applications to solve your use case. [Haystack](https://haystack.deepset.ai/) is an end-to-end LLM framework that enables you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), documentation search, question answering or answer generation, you can use state-of-the-art embedding models and LLMs with Haystack to build end-to-end NLP applications to solve your use case.