Merge pull request #438 from HeidiSteen/heidist-limits

Add lightbox to images

Author: prmerger-automator[bot]

articles/search/search-sku-tier.md

@@ -33,7 +33,7 @@ Billing rates are shown in the portal's **Select Pricing Tier** page. You can ch
 
 Tiers include **Free**, **Basic**, **Standard**, and **Storage Optimized**. Standard and Storage Optimized are available with several configurations and capacities. The following screenshot from Azure portal shows the available tiers, minus pricing (which you can find in the portal and on the [pricing page](https://azure.microsoft.com/pricing/details/search/)). 
 
-:::image type="content" source="media/search-sku-tier/tiers.png" alt-text="Pricing tier chart" border="true":::
+:::image type="content" source="media/search-sku-tier/tiers.png" lightbox="media/search-sku-tier/tiers.png" alt-text="Pricing tier chart" border="true":::
 
 **Free** creates a [limited search service](search-limits-quotas-capacity.md#subscription-limits) for smaller projects, like running tutorials and code samples. Internally, system resources are shared among multiple subscribers. You can't scale a free service, run significant workloads, and some premium features aren't available. You can only have one free search service per Azure subscription.
 

articles/search/tutorial-rag-build-solution-pipeline.md

@@ -8,7 +8,7 @@ author: HeidiSteen
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: tutorial
-ms.date: 09/12/2024
+ms.date: 09/23/2024
 
 ---
 
@@ -99,7 +99,7 @@ print(f"{result.name} created")
 
 In this step, set up the sample data and a connection to Azure Blob Storage. The indexer retrieves PDFs from a container. You create the container and upload files in this step.
 
-The original ebook is large, over 100 pages and 35 MB in size. We broke it up into smaller PDFs, one per page of text, to stay under the REST API payload limit of 16 MB per API call. For simplicity, we omit image vectorization for this exercise.
+The original ebook is large, over 100 pages and 35 MB in size. We broke it up into smaller PDFs, one per page of text, to stay under the [API payload limit](search-limits-quotas-capacity.md#api-request-limits) of 16 MB per API call and also the [AI enrichment data limits](search-limits-quotas-capacity.md#data-limits-ai-enrichment). For simplicity, we omit image vectorization for this exercise.
 
 1. Sign in to the Azure portal and find your Azure Storage account.
 

articles/search/vector-search-index-size.md

@@ -52,11 +52,11 @@ Newer services created after April 3, 2024 offer five to ten times more vector s
 
 1. Select the deployment. If you have more than one, click through to see if it resolves to your search service.
 
-    :::image type="content" source="media/vector-search-index-size/resource-group-deployments.png" alt-text="Screenshot of a filtered deployments list.":::
+    :::image type="content" source="media/vector-search-index-size/resource-group-deployments.png" lightbox="media/vector-search-index-size/resource-group-deployments.png" alt-text="Screenshot of a filtered deployments list.":::
 
 1. Expand deployment details. You should see *Created* and the creation date.
 
-   :::image type="content" source="media/vector-search-index-size/deployment-details.png" alt-text="Screenshot of the deployment details showing creation date.":::
+   :::image type="content" source="media/vector-search-index-size/deployment-details.png" lightbox="media/vector-search-index-size/deployment-details.png" alt-text="Screenshot of the deployment details showing creation date.":::
 
 1. Now that you know the age of your search service, review the vector quota limits based on service creation: [Vector index size limits](search-limits-quotas-capacity.md#vector-index-size-limits).