Added portal links

Author: HeidiSteen

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

@@ -10,16 +10,16 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2024
 ms.topic: overview
-ms.date: 04/15/2025
+ms.date: 05/15/2025
 ---
 
 # What's Azure AI Search?
 
 Azure AI Search ([formerly known as "Azure Cognitive Search"](whats-new.md#new-service-name)) is an enterprise-ready information retrieval system for your heterogeneous content that you ingest into a search index, and surface to users through queries and apps. It comes with a comprehensive set of advanced search technologies, built for high-performance applications at any scale.
 
-Azure AI Search is the recommended retrieval system for building RAG-based applications on Azure, with native LLM integrations between Azure OpenAI Service and Azure Machine Learning, an integration mechanism for non-native models and processes, and multiple strategies for relevance tuning.
+Azure AI Search is the recommended retrieval system for building agent-to-agent (A2A) and RAG-based applications on Azure, with native LLM integrations between Azure OpenAI Service and Azure Machine Learning, with mechanisms for integrating third-party and open-source models and processes.
 
-Azure AI Search can be used in both traditional and GenAI search scenarios. Common use cases include catalog or document search, information discovery (data exploration), and retrieval-augmented generation (RAG) for conversational search.  
+Azure AI Search can be used in both traditional and generative search scenarios. Common use cases include catalog or document search, information discovery (data exploration), and  retrieval-augmented generation (RAG) for conversational search.  
 
 When you create a search service, you work with the following capabilities:
 

articles/search/whats-new.md

@@ -32,7 +32,7 @@ Learn about the latest updates to Azure AI Search functionality, docs, and sampl
 | [Multimodal search (preview)](multimodal-search-overview.md) | Indexing, Query | Ingest, understand, and retrieve documents that contain text and images, enabling you to perform searches that combine various modalities, such as querying with text to find information embedded in relevant complex images. |
 | [GenAI prompt skill (preview)](cognitive-search-skill-genai-prompt.md) | Skills | A new skill that connects to a large language model (LLM) for information, using a prompt you provide. With this skill, you can populate a searchable field using content from an LLM. A primary use case for this skill is *image verbalization*, using an LLM to describe images and send the description to a searchable field in your index. |
 | [Document Layout skill (preview)](cognitive-search-skill-document-intelligence-layout.md)| Skills | New parameters are available for this skill if you use the 2025-05-01-preview API version. New parameters support image offset metadata that improves the image search experience. |
-| Import and vectorize data wizard enhancements | Portal | This wizard provides two paths for creating and populating vector indexes: Retrieval Augmented Generation (RAG) and multimodal support. Logic apps integration is through the RAG path. |
+| Import and vectorize data wizard enhancements | Portal | This wizard provides two paths for creating and populating vector indexes: [Retrieval Augmented Generation (RAG)](search-get-started-portal-import-vectors.md) and [Multimodal](search-get-started-portal-image-search.md). Logic apps integration is through the RAG path. |
 | [Index "description" support (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2025-05-01-preview&preserve-view=true#request-body) | REST | The latest preview API adds a description to an index. A description is useful in agentic solutions, where the agent reads the description to decide whether to run a query or move on to another index. |
 | [2025-05-01-preview](/rest/api/searchservice/operation-groups?view=rest-searchservice-2025-05-01-preview&preserve-view=true) | REST | New data plane preview REST API version providing programmatic access to the preview features announced in this release. |