Merge pull request #4772 from haileytap/quickstart-wizard

[Azure Search] Update screenshots to reflect multimodal wizard reversion

Author: v-shils

articles/search/media/search-explorer/search-explorer-cmd2.png

@@ -6,14 +6,14 @@ author: haileytap
 ms.author: haileytapia
 ms.service: azure-ai-search
 ms.topic: quickstart
-ms.date: 05/09/2025
+ms.date: 05/12/2025
 ms.custom:
   - references_regions
 ---
 
 # Quickstart: Search for multimodal content in the Azure portal
 
-In this quickstart, you use the **Import and vectorize data wizard** in the Azure portal to get started with multimodal search. Multimodality refers to the ability to process and query over multiple types of data, such as text and images.
+In this quickstart, you use the **Import and vectorize data wizard** in the Azure portal to get started with [multimodal search](multimodal-search-overview.md). Multimodality refers to the ability to process and query over multiple types of data, such as text and images.
 
 The sample data consists of a multimodal PDF in the [azure-search-sample-data](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/sustainable-ai-pdf) repo, but you can use different files and still follow this quickstart.
 
@@ -71,14 +71,16 @@ To start the wizard for multimodal search:
 
 1. Sign in to the [Azure portal](https://portal.azure.com/) and go to your Azure AI Search service.
 
-1. On the **Overview** page, select **Import and vectorize data wizard**.
+1. On the **Overview** page, select **Import and vectorize data**.
 
-   :::image type="content" source="media/search-get-started-portal-import-vectors/command-bar-quickstart-wizard.png" alt-text="Screenshot of the command to open the wizard for importing and vectorizing data.":::
+   :::image type="content" source="media/search-get-started-portal-import-vectors/command-bar.png" alt-text="Screenshot of the command to open the wizard for importing and vectorizing data.":::
 
 1. Select your data source: **Azure Blob Storage** or **Azure Data Lake Storage Gen2**.
 
 1. Select the **Multimodal RAG** tile.
 
+   :::image type="content" source="media/search-get-started-portal-images/wizard-scenarios-multimodal-rag.png" alt-text="Screenshot of the Multimodal RAG tile in the wizard." border="true" lightbox="media/search-get-started-portal-images/wizard-scenarios-multimodal-rag.png":::
+
 ## Connect to your data
 
 Azure AI Search requires a connection to the data source that contains the sample data. In this case, the data source is an Azure Storage account.
@@ -248,4 +250,4 @@ This quickstart uses billable Azure resources. If you no longer need the resourc
 
 ## Next step
 
-This quickstart introduced you to the **Import and vectorize data wizard** that creates all of the necessary objects for multimodal search. If you want to explore each step in detail, try an [integrated vectorization sample](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/integrated-vectorization/azure-search-integrated-vectorization-sample.ipynb).
+This quickstart introduced you to the **Import and vectorize data wizard**, which creates all of the necessary objects for multimodal search. To explore each step in detail, see [Tutorial: Index mixed content using multimodal embeddings and the Document Extraction skill](tutorial-multimodal-indexing-with-embedding-and-doc-extraction.md).

articles/search/media/search-get-started-portal-images/review-create.png

@@ -9,7 +9,7 @@ ms.custom:
   - build-2024
   - ignite-2024
 ms.topic: quickstart
-ms.date: 05/08/2025
+ms.date: 05/12/2025
 ---
 
 # Quickstart: Vectorize text in the Azure portal
@@ -259,9 +259,9 @@ For the model catalog, you should have an [Azure AI Foundry project](/azure/ai-f
 
 1. Sign in to the [Azure portal](https://portal.azure.com/) and go to your Azure AI Search service.
 
-1. On the **Overview** page, select **Import and vectorize data wizard**.
+1. On the **Overview** page, select **Import and vectorize data**.
 
-   :::image type="content" source="media/search-get-started-portal-import-vectors/command-bar-quickstart-wizard.png" alt-text="Screenshot of the command to open the wizard for importing and vectorizing data.":::
+   :::image type="content" source="media/search-get-started-portal-import-vectors/command-bar.png" alt-text="Screenshot of the command to open the wizard for importing and vectorizing data.":::
 
 1. Select your data source:
 
@@ -273,6 +273,8 @@ For the model catalog, you should have an [Azure AI Foundry project](/azure/ai-f
 
 1. Select the **RAG** tile.
 
+   :::image type="content" source="media/search-get-started-portal-import-vectors/wizard-scenarios-rag.png" alt-text="Screenshot of the RAG tile in the wizard." border="true" lightbox="media/search-get-started-portal-import-vectors/wizard-scenarios-rag.png":::
+
 ## Connect to your data
 
 The next step is to connect to a data source to use for the search index.

articles/search/media/search-get-started-portal-images/wizard-scenarios-multimodal-rag.png

@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2024
 ms.topic: concept-article
-ms.date: 05/08/2025
+ms.date: 05/12/2025
 customer intent: As a developer, I want to use wizards for index creation so that I can query the content quickly.
 ---
 
@@ -23,12 +23,12 @@ Azure AI Search has two wizards that automate indexing and object creation so th
 
 If you're using the wizard for proof-of-concept testing, this article explains the internal workings of the wizards so that you can use them more effectively.
 
-This article isn't a step by step. For help with using the wizard with sample data see:
+This isn't a step-by-step article. To use the wizard with sample data, see:
 
 + [Quickstart: Create a search index](search-get-started-portal.md)
 + [Quickstart: Create a text translation and entity skillset](search-get-started-skillset.md)
 + [Quickstart: Create a vector index](search-get-started-portal-import-vectors.md)
-+ [Quickstart: image search (vectors)](search-get-started-portal-image-search.md)
++ [Quickstart: Image search (vectors)](search-get-started-portal-image-search.md)
 
 ## Supported data sources and scenarios
 
@@ -268,4 +268,4 @@ The best way to understand the benefits and limitations of the wizard is to step
 + [Quickstart: Create a search index](search-get-started-portal.md)
 + [Quickstart: Create a text translation and entity skillset](search-get-started-skillset.md)
 + [Quickstart: Create a vector index](search-get-started-portal-import-vectors.md)
-+ [Quickstart: image search (vectors)](search-get-started-portal-image-search.md)
++ [Quickstart: Image search (vectors)](search-get-started-portal-image-search.md)