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docs: documentation search -> document search in Readme (#7320)

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* docs: documentation search -> document search in Readme

* add links for "get started" and "what is haystack"
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README.md
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@ -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).