From cfc5253651f5b4235e6c7e36bcd7d03f26f3d715 Mon Sep 17 00:00:00 2001 From: Julian Risch Date: Wed, 6 Mar 2024 17:26:46 +0100 Subject: [PATCH] docs: documentation search -> document search in Readme (#7320) * docs: documentation search -> document search in Readme * add links for "get started" and "what is haystack" --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index e6e1401e8..224ec9d18 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ [Haystack](https://haystack.deepset.ai/) is an end-to-end LLM framework that allows 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, Haystack can orchestrate state-of-the-art embedding models +document search, question answering or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case. ## Installation @@ -27,8 +27,8 @@ to the [documentation](https://docs.haystack.deepset.ai/v2.0/docs/installation). ## Documentation -If you're new to the project, check out "What is Haystack?" then go -through the "Get Started Guide" and build your first LLM application +If you're new to the project, check out ["What is Haystack?"](https://haystack.deepset.ai/overview/intro) then go +through the ["Get Started Guide"](https://haystack.deepset.ai/overview/quick-start) and build your first LLM application in a matter of minutes. Keep learning with the [tutorials](https://haystack.deepset.ai/tutorials?v=2.0). For more advanced use cases, or just to get some inspiration, you can browse our Haystack recipes in the [Cookbook](https://github.com/deepset-ai/haystack-cookbook).