From 76b0d05eb1e441f634ff5513f6f14f14af9ebd9e Mon Sep 17 00:00:00 2001 From: Roshan Jossy Date: Sun, 31 Dec 2023 10:34:40 +0100 Subject: [PATCH] chore: use GitHub markdown for warning about beta version in Readme (#6666) --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5b18e6a9a..4d781c213 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,8 @@ | 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) | -> ⚠️ 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.