Replaced what-is-azs with marketing's version in the FAQ

Author: HeidiSteen

articles/search/search-what-is-azure-search.md

@@ -8,14 +8,18 @@ author: HeidiSteen
 ms.author: heidist
 ms.service: azure-ai-search
 ms.topic: overview
-ms.date: 10/08/2024
+ms.date: 10/27/2024
 ---
 
 # What's Azure AI Search?
 
-Azure AI Search ([formerly known as "Azure Cognitive Search"](whats-new.md#new-service-name)) provides secure information retrieval at scale over user-owned content in traditional and generative AI search applications.
+Azure AI Search ([formerly known as "Azure Cognitive Search"](whats-new.md#new-service-name)) is an enterprise-ready search and retrieval system, with a comprehensive set of advanced search technology, built for high-performance applications at any scale.  
 
-Information retrieval is foundational to any app that surfaces text and vectors. Common scenarios include catalog or document search, data exploration, and increasingly feeding query results to prompts based on your proprietary grounding data for conversational and copilot search. When you create a search service, you work with the following capabilities:
+Azure AI Search is the primary recommended retrieval system when building RAG-based applications on Azure, with native LLM integrations between Azure OpenAI Service and Azure Machine Learning.
+
+Azure AI Search can be used in both traditional and GenAI scenarios. Common use cases include knowledge base insights (catalog or document search), information discovery (data exploration), retrieval-augmented generation (RAG), and automation.  
+
+When you create a search service, you work with the following capabilities:
 
 + A search engine for [vector search](vector-search-overview.md) and [full text](search-lucene-query-architecture.md) and [hybrid search](hybrid-search-overview.md) over a search index 
 + Rich indexing with [integrated data chunking and vectorization](vector-search-integrated-vectorization.md), [lexical analysis](search-analyzers.md) for text, and [optional applied AI](cognitive-search-concept-intro.md) for content extraction and transformation