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Update README.asciidoc (#103597) 

* Update README.asciidoc

updating the readme with the latest blurb from PMM and a reference to RAG + a few links to search labs content.

* Tweak verbiage

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Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
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= Elasticsearch
Elasticsearch is a distributed, RESTful search engine optimized for speed and relevance on production-scale workloads. You can use Elasticsearch to perform real-time search over massive datasets for applications including:
Elasticsearch is a distributed search and analytics engine optimized for speed and relevance on production-scale workloads. Elasticsearch is the foundation of Elastic's open Stack platform. Search in near real-time over massive datasets, perform vector searches, integrate with generative AI applications, and much more.
* Vector search
Use cases enabled by Elasticsearch include:
* https://www.elastic.co/search-labs/blog/articles/retrieval-augmented-generation-rag[Retrieval Augmented Generation (RAG)]
* https://www.elastic.co/search-labs/blog/categories/vector-search[Vector search]
* Full-text search
* Logs
* Metrics
* Application performance monitoring (APM)
* Security logs
\... and more!
To learn more about Elasticsearch's features and capabilities, see our
https://www.elastic.co/products/elasticsearch[product page].
To access information on https://www.elastic.co/search-labs/blog/categories/ml-research[machine learning innovations] and the latest https://www.elastic.co/search-labs/blog/categories/lucene[Lucene contributions from Elastic], more information can be found in https://www.elastic.co/search-labs[Search Labs].
[[get-started]]
== Get started