@@ -9,16 +9,16 @@ ms.custom:
   - ignite-2023
   - ignite-2024
 ms.topic: how-to
-ms.date: 2/8/2025
+ms.date: 3/16/2025
 ---
 
 # Attach an Azure AI services resource to a skillset in Azure AI Search
 
-If you're using built-in skills for optional [AI enrichment](cognitive-search-concept-intro.md) in Azure AI Search, you can enrich a small number of documents free of charge, limited to 20 transactions daily per index. For larger and more frequent workloads, you should attach a billable [Azure AI multi-service resource](/azure/ai-services/multi-service-resource?pivots=azportal). 
+If you're using built-in skills for optional [AI enrichment](cognitive-search-concept-intro.md) in Azure AI Search, you can enrich a small number of documents free of charge, limited to 20 transactions daily per index. For larger and more frequent workloads, you should attach a billable [Azure AI services multi-service resource](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills?pivots=azportal). 
 
-Azure AI Search uses dedicated, internally hosted Azure AI multi-service resources for built-in skills execution, but needs your multi-service resource for billing purposes. 
+Azure AI Search uses dedicated, internally hosted Azure AI services multi-service resources for built-in skills execution, but needs your multi-service resource for billing purposes. 
 
-An Azure AI multi-service resource provides a collection of Azure AI services, rather than individual services. Providing a multi-service resource in an Azure AI Search [skillset](/rest/api/searchservice/skillsets/create) allows Microsoft to charge you for using these services:
+An Azure AI services multi-service resource provides a collection of Azure AI services, rather than individual services. Providing a multi-service resource in an Azure AI Search [skillset](/rest/api/searchservice/skillsets/create) allows Microsoft to charge you for using these services:
 
 + [Azure AI Vision](/azure/ai-services/computer-vision/overview) for image analysis, optical character recognition (OCR), and multimodal embeddings
 + [Azure AI Language](/azure/ai-services/language-service/overview) for language detection, entity recognition, sentiment analysis, and key phrase extraction
@@ -34,7 +34,7 @@ To attach an Azure AI multi-resource, you must provide connection information in
 
 ## Prerequisites
 
-+ Connectivity over a public endpoint, unless your search service meets the creation date, tier, and region requirements for private connections to an Azure AI multi-service resource.
++ Connectivity over a public endpoint, unless your search service meets the creation date, tier, and region requirements for private connections to an Azure AI services multi-service resource.
 
 > [!NOTE]
 > If your Azure AI resource is configured to use a private endpoint, Azure AI Search can connect [using a shared private link](search-indexer-howto-access-private.md) For more information, see the [requirements and limits for using shared private links](search-limits-quotas-capacity.md#shared-private-link-resource-limits).
@@ -43,11 +43,11 @@ To attach an Azure AI multi-resource, you must provide connection information in
 
 [!INCLUDE [Feature preview](./includes/previews/preview-generic.md)]
 
-Using the Azure portal or newer preview REST APIs and beta SDK packages, you can attach an Azure AI multi-service resource using a managed identity and permissions. The advantage of this approach is that billing is keyless and has no dependency on regions.
+Using the Azure portal or newer preview REST APIs and beta SDK packages, you can attach an Azure AI services multi-service resource using a managed identity and permissions. The advantage of this approach is that billing is keyless and has no dependency on regions.
 
 1. [Configure Azure AI Search to use a managed identity](search-howto-managed-identities-data-sources.md).
 
-1. On your Azure AI multi-service resource, [assign the identity](/azure/role-based-access-control/role-assignments-portal) to the **Cognitive Services User** role.
+1. On your Azure AI services multi-service resource, [assign the identity](/azure/role-based-access-control/role-assignments-portal) to the **Cognitive Services User** role.
 
 1. Using the Azure portal, or the [Skillset 2024-11-01-preview REST API](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true), or an Azure SDK beta package that provides the syntax, configure a skillset to use an identity:
 
@@ -57,7 +57,7 @@ Using the Azure portal or newer preview REST APIs and beta SDK packages, you can
 
    + `@odata.type` is always `#Microsoft.Azure.Search.AIServicesByIdentity`.
 
-   + `subdomainUrl` is the endpoint of your Azure AI multi-service resource. The subdomain URL must include a unique name (for example, `https://hereismyuniquename.cognitiveservices.azure.com`). If the service was created through the Azure portal, a unique subdomain is automatically generated as part of your service setup. Ensure that your service includes a unique subdomain before using it with the Azure AI Search integration.
+   + `subdomainUrl` is the endpoint of your Azure AI services multi-service resource. The subdomain URL must include a unique name (for example, `https://hereismyuniquename.cognitiveservices.azure.com`). If the service was created through the Azure portal, a unique subdomain is automatically generated as part of your service setup. Ensure that your service includes a unique subdomain before using it with the Azure AI Search integration.
 
 As with keys, the details you provide about the Azure AI Services resource are used for billing, not connections.  All API requests made by Azure AI Search to Azure AI services for built-in skills processing continue to be internal and managed by Microsoft.
 
@@ -112,19 +112,19 @@ POST https://[service-name].search.windows.net/skillsets/[skillset-name]?api-ver
 
 ## Bill through a resource key
 
-Azure AI Search can also charge for transactions using the Azure AI multi-service resource key. This approach is the default and is generally available. You can use the Azure portal, REST API, or an Azure SDK to add the key to a skillset.
+Azure AI Search can also charge for transactions using the Azure AI services multi-service resource key. This approach is the default and is generally available. You can use the Azure portal, REST API, or an Azure SDK to add the key to a skillset.
 
 There are two supported key types: `#Microsoft.Azure.Search.CognitiveServicesByKey` which calls the regional endpoint and `"#Microsoft.Azure.Search.AIServicesByKey` which calls the subdomain. We recommend using `AIServicesByKey` for its shared private link support and ability to function with no regional requirements relative to the search service.
 
-The Azure AI multi-service resource must be in the same region as Azure AI Search. For more information, see [Regions supported by Azure AI Search](search-region-support.md#azure-public-regions) and choose a region that provides AI services integration.
+The Azure AI services multi-service resource must be in the same region as Azure AI Search. For more information, see [Regions supported by Azure AI Search](search-region-support.md#azure-public-regions) and choose a region that provides AI services integration.
 
 If you leave the `cognitiveServices` property unspecified, your search service attempts to use the free enrichments available to your indexer on a daily basis. Execution of billable skills stops at 20 transactions per indexer invocation and a "Time Out" message appears in indexer execution history.
 
 ### [**Azure portal**](#tab/portal)
 
 1. Sign in to the [Azure portal](https://portal.azure.com).
 
-1. Create an [Azure AI multi-service resource](/azure/ai-services/multi-service-resource?pivots=azportal) in the [same region](#same-region-requirement) as your search service.
+1. Create an [Azure AI services multi-service resource](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills?pivots=azportal) in the [same region](#same-region-requirement) as your search service.
 
 1. Get the resource key from the **Resources** > **Keys and endpoint** page.
 
@@ -282,26 +282,26 @@ Keyless and key-based connections are used for billing, but not for enrichment o
 
 For key-based connections, a search service [connects over the internal network](search-security-overview.md#internal-traffic) to an Azure AI services resource located in the [same physical region](search-region-support.md). Most regions that offer Azure AI Search also offer other Azure AI services such as Language. If you attempt AI enrichment in a region that doesn't have both services, you see this message: "Provided key isn't a valid CognitiveServices type key for the region of your search service."
 
-For keyless connections, a search service authenticates using its identity and role assignment, targeting an Azure AI multi-service resource specified as a fully-qualified URI, having a unique subdomain in that URI.
+For keyless connections, a search service authenticates using its identity and role assignment, targeting an Azure AI services multi-service resource specified as a fully-qualified URI, having a unique subdomain in that URI.
 
-Indexers can be configured to run in a [private execution environment](search-howto-run-reset-indexers.md#indexer-execution-environment) for dedicated processing using just the search nodes of your own search service. Even if you're using private execution environment, Azure AI Search still uses its internally provisioned Azure AI multiservice resource to perform all skill enrichments.
+Indexers can be configured to run in a [private execution environment](search-howto-run-reset-indexers.md#indexer-execution-environment) for dedicated processing using just the search nodes of your own search service. Even if you're using private execution environment, Azure AI Search still uses its internally provisioned Azure AI services multi-service resource to perform all skill enrichments.
 
 > [!NOTE]
 > Some built-in skills are based on non-regional Azure AI services (for example, the [Text Translation Skill](cognitive-search-skill-text-translation.md)). Using a non-regional skill means that your request might be serviced in a region other than the Azure AI Search region. For more information on non-regional services, see the [Azure AI services product by region](https://aka.ms/allinoneregioninfo) page.
 
 ### Public connection requirements
 
-Depending on when your search service was created, and its tier and region, billing for [built-in skills](cognitive-search-predefined-skills.md) can require a public connection from Azure AI Search to Azure AI multi-service. Disabling public network access breaks billing in some scenarios. Review the requirements for [connections through a shared private link](search-indexer-howto-access-private.md) to determine whether your search service requires a public connection.
+Depending on when your search service was created, and its tier and region, billing for [built-in skills](cognitive-search-predefined-skills.md) can require a public connection from Azure AI Search to Azure AI services multi-service. Disabling public network access breaks billing in some scenarios. Review the requirements for [connections through a shared private link](search-indexer-howto-access-private.md) to determine whether your search service requires a public connection.
 
 If you can't use the public network, you can configure a [Custom Web API skill](cognitive-search-custom-skill-interface.md) implemented with an [Azure Function](cognitive-search-create-custom-skill-example.md) that supports [private endpoints](/azure/azure-functions/functions-create-vnet) and add the [Azure AI services resource to the same VNET](/azure/ai-services/cognitive-services-virtual-networks). In this way, you can call Azure AI services resource directly from the custom skill using private endpoints.
 
 ### Key requirements special cases
 
-[Custom Entity Lookup](cognitive-search-skill-custom-entity-lookup.md) is metered by Azure AI Search, not Azure AI services, but it requires an Azure AI multi-service resource key to unlock transactions beyond 20 per indexer, per day. For this skill only, the resource key unblocks the number of transactions, but is unrelated to billing.
+[Custom Entity Lookup](cognitive-search-skill-custom-entity-lookup.md) is metered by Azure AI Search, not Azure AI services, but it requires an Azure AI services multi-service resource key to unlock transactions beyond 20 per indexer, per day. For this skill only, the resource key unblocks the number of transactions, but is unrelated to billing.
 
 ## Free enrichments
 
-AI enrichment offers a small quantity of free processing  of billable enrichments so that you can complete short exercises without having to attach an Azure AI multi-service resource. Free enrichments are 20 documents per day, per indexer. You can [reset the indexer](search-howto-run-reset-indexers.md) to reset the counter if you want to repeat an exercise.
+AI enrichment offers a small quantity of free processing  of billable enrichments so that you can complete short exercises without having to attach an Azure AI services multi-service resource. Free enrichments are 20 documents per day, per indexer. You can [reset the indexer](search-howto-run-reset-indexers.md) to reset the counter if you want to repeat an exercise.
 
 Some enrichments are always free: 
 

@@ -118,7 +118,7 @@ Start with a subset of data in a [supported data source](search-indexer-overview
 
 1. Create a [data source](/rest/api/searchservice/data-sources/create) that specifies a connection to your data.
 
-1. [Create a skillset](cognitive-search-defining-skillset.md). Unless your project is small, you should [attach an Azure AI multi-service resource](cognitive-search-attach-cognitive-services.md). If you're [creating a knowledge store](knowledge-store-create-rest.md), define it within the skillset.
+1. [Create a skillset](cognitive-search-defining-skillset.md). Unless your project is small, you should [attach an Azure AI services multi-service resource](cognitive-search-attach-cognitive-services.md). If you're [creating a knowledge store](knowledge-store-create-rest.md), define it within the skillset.
 
 1. [Create an index schema](search-how-to-create-search-index.md) that defines a search index.
 

@@ -45,7 +45,7 @@ Start with the basic structure. In the [Create Skillset REST API](/rest/api/sear
    "cognitiveServices":{
       "@odata.type":"#Microsoft.Azure.Search.CognitiveServicesByKey",
       "description":"An Azure AI services resource in the same region as Azure AI Search",
-      "key":"<Your-Cognitive-Services-Multiservice-Key>"
+      "key":"<Your-Cognitive-Services-Multi-Service-Key>"
    },
    "knowledgeStore":{
       "storageConnectionString":"<Your-Azure-Storage-Connection-String>",
@@ -65,7 +65,7 @@ After the name and description, a skillset has four main properties:
 
 + `skills` array, an unordered [collection of skills](cognitive-search-predefined-skills.md). Skills can be utilitarian (like splitting text), transformational (based on AI from Azure AI services), or custom skills that you provide. An example of a skills array is provided in the next section.
 
-+ `cognitiveServices` is used for [billable skills](cognitive-search-predefined-skills.md) that call Azure AI services APIs. Remove this section if you aren't using billable skills or Custom Entity Lookup. If you are, attach [an Azure AI multi-service resource](cognitive-search-attach-cognitive-services.md).
++ `cognitiveServices` is used for [billable skills](cognitive-search-predefined-skills.md) that call Azure AI services APIs. Remove this section if you aren't using billable skills or Custom Entity Lookup. If you are, attach [an Azure AI services multi-service resource](cognitive-search-attach-cognitive-services.md).
 
 + `knowledgeStore` (optional) specifies an Azure Storage account and settings for projecting skillset output into tables, blobs, and files in Azure Storage. Remove this section if you don't need it, otherwise [specify a knowledge store](knowledge-store-create-rest.md).
 

@@ -34,7 +34,7 @@ First, you set up sample data in Azure Storage. Next, you run the **Import data*
   + [Upload the file to a blob container](/azure/storage/blobs/storage-quickstart-blobs-portal) in Azure Storage.
 
 > [!NOTE]
-> This quickstart uses [Azure AI services](https://azure.microsoft.com/services/cognitive-services/) for AI enrichment. Because the workload is so small, Azure AI services is tapped behind the scenes for free processing for up to 20 transactions. This means that you can complete this exercise without having to create an extra Azure AI multi-service resource.
+> This quickstart uses [Azure AI services](https://azure.microsoft.com/services/cognitive-services/) for AI enrichment. Because the workload is so small, Azure AI services is tapped behind the scenes for free processing for up to 20 transactions. This means that you can complete this exercise without having to create an extra Azure AI services multi-service resource.
 
 ## Start the wizard
 

@@ -31,7 +31,7 @@ To make the initial data set available, the hotel reviews are first imported int
 
 + Azure Storage. [Create an account](/azure/storage/common/storage-account-create) or [find an existing one](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Storage%2storageAccounts/). The account type must be **StorageV2 (general purpose V2)**.
 
-The skillset in this examples uses Azure AI Services for enrichments. Because the workload is so small, Azure AI services is tapped behind the scenes to provide free processing for up to 20 transactions daily. A small workload means that you can skip creating or attaching an Azure AI multi-service resource.
+The skillset in this examples uses Azure AI Services for enrichments. Because the workload is so small, Azure AI services is tapped behind the scenes to provide free processing for up to 20 transactions daily. A small workload means that you can skip creating or attaching an Azure AI services multi-service resource.
 
 ## Upload data to Azure Storage and get a connection string
 

@@ -116,13 +116,13 @@ In most cases, choose a region near you, unless any of the following apply:
 
 1. Do you have business continuity and disaster recovery (BCDR) requirements? Create two or more search services in [regional pairs](/azure/reliability/cross-region-replication-azure#azure-paired-regions) within [availability zones](search-reliability.md#availability-zones). For example, if you're operating in North America, you might choose East US and West US, or North Central US and South Central US, for each search service.
 
-1. Do you need [AI enrichment](cognitive-search-concept-intro.md), [integrated data chunking and vectorization](vector-search-integrated-vectorization.md), or [multimodal image search](search-get-started-portal-image-search.md)? Azure AI Search, Azure OpenAI, and Azure AI multiservice must coexist in the same region.
+1. Do you need [AI enrichment](cognitive-search-concept-intro.md), [integrated data chunking and vectorization](vector-search-integrated-vectorization.md), or [multimodal image search](search-get-started-portal-image-search.md)? Azure AI Search, Azure OpenAI, and Azure AI services multi-service must coexist in the same region.
 
    + Start with [Azure OpenAI regions](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) because they have the most variability. Azure OpenAI provides embedding models and chat models for RAG and integrated vectorization.
 
-   + Check [Azure AI Search regions](search-region-support.md#azure-public-regions) for a match to your Azure OpenAI region. If you're using OCR, entity recognition, or other skills backed by Azure AI, the **AI service integration** column indicates whether Azure AI multiservice and Azure AI Search are in the same region.
+   + Check [Azure AI Search regions](search-region-support.md#azure-public-regions) for a match to your Azure OpenAI region. If you're using OCR, entity recognition, or other skills backed by Azure AI, the **AI service integration** column indicates whether Azure AI services multi-service and Azure AI Search are in the same region.
 
-   + Check [multimodal embedding regions](/azure/ai-services/computer-vision/overview-image-analysis#region-availability) for multimodal APIs and image search. This API is accessed through an Azure AI multiservice account, but in general, it's available in fewer regions than Azure AI multiservice.
+   + Check [multimodal embedding regions](/azure/ai-services/computer-vision/overview-image-analysis#region-availability) for multimodal APIs and image search. This API is accessed through an Azure AI services multi-service account, but in general, it's available in fewer regions than Azure AI services multi-service.
 
 ### Regions with the most overlap
 

@@ -21,9 +21,9 @@ The sample data consists of image files in the [azure-search-sample-data](https:
 
 + An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
 
-+ An [Azure AI services multiservice account](/azure/ai-services/multi-service-resource) for image vectorization and optical character recognition (OCR). Image vectorization requires Azure AI Vision multimodal embeddings. For an updated list of regions, see the [Azure AI Vision documentation](/azure/ai-services/computer-vision/overview-image-analysis#region-availability).
++ An [Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills) for image vectorization and optical character recognition (OCR). Image vectorization requires Azure AI Vision multimodal embeddings. For an updated list of regions, see the [Azure AI Vision documentation](/azure/ai-services/computer-vision/overview-image-analysis#region-availability).
 
-+ An Azure AI Search service for indexing and queries. Your service can be on any tier, but it must be in the [same region as Azure AI multiservice](search-create-service-portal.md#regions-with-the-most-overlap).
++ An Azure AI Search service for indexing and queries. Your service can be on any tier, but it must be in the [same region as Azure AI services multi-service](search-create-service-portal.md#regions-with-the-most-overlap).
 
   The service tier determines how many blobs you can index. We used the Free tier to create this quickstart and limited the content to 10 JPG files.
 
@@ -84,7 +84,7 @@ If raw content includes text, or if the skillset produces text, the wizard calls
 
 Azure AI Vision provides text embeddings, so use that resource for text vectorization.
 
-1. On the **Vectorize your text** page, select **AI Vision vectorization**. If it's not available, make sure Azure AI Search and your Azure AI multiservice account are together in a region that [supports AI Vision multimodal APIs](/azure/ai-services/computer-vision/how-to/image-retrieval).
+1. On the **Vectorize your text** page, select **AI Vision vectorization**. If it's not available, make sure Azure AI Search and your Azure AI services multi-service account are together in a region that [supports AI Vision multimodal APIs](/azure/ai-services/computer-vision/how-to/image-retrieval).
 
    :::image type="content" source="media/search-get-started-portal-images/vectorize-your-text.png" alt-text="Screenshot of the wizard page for vectorizing text.":::
 

@@ -20,7 +20,7 @@ In this quickstart, you use the **Import and vectorize data** wizard in the Azur
 
 + An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
 
-+ An [Azure AI Search service](search-create-service-portal.md) in the same region as your Azure AI multi-service resource. We recommend the Basic tier or higher.
++ An [Azure AI Search service](search-create-service-portal.md) in the same region as your Azure AI services multi-service resource. We recommend the Basic tier or higher.
 
 + A [supported data source](#supported-data-sources) with the [Health Plan PDF](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/health-plan) sample documents.
 
@@ -48,7 +48,7 @@ Use an embedding model on an Azure AI platform in the [same region as Azure AI S
 |---|---|
 | [Azure OpenAI Service](https://aka.ms/oai/access) | text-embedding-ada-002 <br>text-embedding-3-large <br>text-embedding-3-small |
 | [Azure AI Foundry model catalog](/azure/ai-foundry/what-is-ai-foundry) | For text: <br>Cohere-embed-v3-english <br>Cohere-embed-v3-multilingual <br>For images: <br>Facebook-DinoV2-Image-Embeddings-ViT-Base <br>Facebook-DinoV2-Image-Embeddings-ViT-Giant |
-| [Azure AI services multi-service account](/azure/ai-services/multi-service-resource) | [Azure AI Vision multimodal](/azure/ai-services/computer-vision/how-to/image-retrieval) for image and text vectorization, [available in selected regions](/azure/ai-services/computer-vision/how-to/image-retrieval?tabs=csharp). Depending on how you [attach the multi-service resource](cognitive-search-attach-cognitive-services.md), the multi-service account might need to be in the same region as Azure AI Search. |
+| [Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills) | [Azure AI Vision multimodal](/azure/ai-services/computer-vision/how-to/image-retrieval) for image and text vectorization, [available in selected regions](/azure/ai-services/computer-vision/how-to/image-retrieval?tabs=csharp). Depending on how you [attach the multi-service resource](cognitive-search-attach-cognitive-services.md), the multi-service account might need to be in the same region as Azure AI Search. |
 
 If you use the Azure OpenAI Service, the endpoint must have an associated [custom subdomain](/azure/ai-services/cognitive-services-custom-subdomains). A custom subdomain is an endpoint that includes a unique name (for example, `https://hereismyuniquename.cognitiveservices.azure.com`). If the service was created through the Azure portal, this subdomain is automatically generated as part of your service setup. Ensure that your service includes a custom subdomain before using it with the Azure AI Search integration.
 
@@ -315,7 +315,7 @@ Chunking is built in and nonconfigurable. The effective settings are:
 
    + Azure OpenAI
    + Azure AI Foundry model catalog
-   + An existing Azure AI Vision multimodal resource in the same region as Azure AI Search. If there's no [Azure AI Services multi-service account](/azure/ai-services/multi-service-resource) in the same region, this option isn't available.
+   + An existing Azure AI Vision multimodal resource in the same region as Azure AI Search. If there's no [Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills) in the same region, this option isn't available.
 
 1. Choose the Azure subscription.
 
@@ -331,7 +331,7 @@ Chunking is built in and nonconfigurable. The effective settings are:
 
 1. Specify whether you want your search service to authenticate using an API key or managed identity.
 
-   + The identity should have a **Cognitive Services User** role on the Azure AI multi-services account.
+   + The identity should have a **Cognitive Services User** role on the Azure AI services multi-services account.
 
 1. Select the checkbox that acknowledges the billing effects of using these resources.
 

@@ -29,7 +29,7 @@ To prepare, you create a few resources and upload sample files before running th
 + An Azure Storage account with Azure Blob Storage.
 
 > [!NOTE]
-> This quickstart uses [Azure AI services](https://azure.microsoft.com/services/cognitive-services/) for AI transformations. Because the workload is so small, Azure AI services is tapped behind the scenes for free processing for up to 20 transactions. You can complete this exercise without having to create an Azure AI multi-service resource.
+> This quickstart uses [Azure AI services](https://azure.microsoft.com/services/cognitive-services/) for AI transformations. Because the workload is so small, Azure AI services is tapped behind the scenes for free processing for up to 20 transactions. You can complete this exercise without having to create an Azure AI services multi-service resource.
 
 ## Set up your data
 

@@ -193,7 +193,7 @@ Besides skills, the skillset includes `indexProjections` and `cognitiveServices`
 
 + `indexProjections` are used for indexes containing chunked documents. The projections specify how parent-child content is mapped to fields in a search index for one-to-many indexing. For more information, see [Define an index projection](search-how-to-define-index-projections.md).
 
-+ `cognitiveServices` [attaches an Azure AI multi-service account](cognitive-search-attach-cognitive-services.md) for billing purposes (the Document Layout skill is available through [pay-as-you pricing](https://azure.microsoft.com/pricing/details/ai-document-intelligence/)).
++ `cognitiveServices` [attaches an Azure AI services multi-service account](cognitive-search-attach-cognitive-services.md) for billing purposes (the Document Layout skill is available through [pay-as-you pricing](https://azure.microsoft.com/pricing/details/ai-document-intelligence/)).
 
 ```https
 POST {endpoint}/skillsets?api-version=2024-11-01-preview
@@ -400,7 +400,7 @@ If you used the health plan PDFs to test this skill, Search Explorer results for
 + [Create or update a skill set](cognitive-search-defining-skillset.md).
 + [Create a data source](search-howto-indexing-azure-blob-storage.md)
 + [Define an index projection](search-how-to-define-index-projections.md)
-+ [Attach an Azure AI multi-service account](cognitive-search-attach-cognitive-services.md)
++ [Attach an Azure AI services multi-service account](cognitive-search-attach-cognitive-services.md)
 + [Document Layout skill](cognitive-search-skill-document-intelligence-layout.md)
 + [Text Split skill](cognitive-search-skill-textsplit.md)
 + [Azure OpenAI Embedding skill](cognitive-search-skill-azure-openai-embedding.md)

@@ -43,7 +43,7 @@ If you don't have an Azure subscription, open a [free account](https://azure.mic
 Custom skill deployment creates an Azure Function app and an Azure Storage account. Since these resources are created for you, they aren't listed as a prerequisite. When you're finished with this tutorial, remember to clean up the resources so that you aren't billed for services you're not using.
 
 > [!NOTE]
-> Skillsets often require [attaching an Azure AI multi-service resource](cognitive-search-attach-cognitive-services.md). As written, this skillset has no dependency on Azure AI services and thus no key is required. If you later add enrichments that invoke built-in skills, remember to update your skillset accordingly.
+> Skillsets often require [attaching an Azure AI services multi-service resource](cognitive-search-attach-cognitive-services.md). As written, this skillset has no dependency on Azure AI services and thus no key is required. If you later add enrichments that invoke built-in skills, remember to update your skillset accordingly.
 
 ## Deploy the custom skill
 

@@ -109,7 +109,7 @@ To view these objects after the wizard runs:
 | [Indexer](/rest/api/searchservice/indexers/create)  | A configuration object specifying a data source, target index, an optional skillset, optional schedule, and optional configuration settings for error handing and base-64 encoding. |
 | [Data Source](/rest/api/searchservice/data-sources/create)  | Persists connection information to a [supported data source](search-indexer-overview.md#supported-data-sources) on Azure. A data source object is used exclusively with indexers. | 
 | [Index](/rest/api/searchservice/indexes/create) | Physical data structure used for full text search and other queries. | 
-| [Skillset](/rest/api/searchservice/skillsets/create) | Optional. A complete set of instructions for manipulating, transforming, and shaping content, including analyzing and extracting information from image files. Skillsets are also used for integrated vectorization. Unless the volume of work fall under the limit of 20 transactions per indexer per day, the skillset must include a reference to an Azure AI multiservice resource that provides enrichment. For integrated vectorization, you can use either Azure AI Vision or an embedding model in the Azure AI Foundry model catalog. | 
+| [Skillset](/rest/api/searchservice/skillsets/create) | Optional. A complete set of instructions for manipulating, transforming, and shaping content, including analyzing and extracting information from image files. Skillsets are also used for integrated vectorization. Unless the volume of work fall under the limit of 20 transactions per indexer per day, the skillset must include a reference to an Azure AI services multi-service resource that provides enrichment. For integrated vectorization, you can use either Azure AI Vision or an embedding model in the Azure AI Foundry model catalog. | 
 | [Knowledge store](knowledge-store-concept-intro.md) | Optional. Available only in the **Import data** wizard. Stores enriched skillset output from in tables and blobs in Azure Storage for independent analysis or downstream processing in nonsearch scenarios. |
 
 ## Benefits
@@ -150,9 +150,9 @@ You can use the wizards over restricted public connections, but not all function
 
   The Azure resource must admit network requests from the IP address of the device used on the connection. You should also list Azure AI Search as a trusted service on the resource's network configuration. For example, in Azure Storage, you can list `Microsoft.Search/searchServices` as a trusted service.
 
-+ On connections to an Azure AI multi-service account that you provide, or on connections to embedding models deployed in [Azure AI Foundry portal](https://ai.azure.com/) or Azure OpenAI, public internet access must be enabled unless your search service meets the creation date, tier, and region requirements for private connections. For more information about these requirements, see [Make outbound connections through a shared private link](search-indexer-howto-access-private.md).
++ On connections to an Azure AI services multi-service account that you provide, or on connections to embedding models deployed in [Azure AI Foundry portal](https://ai.azure.com/) or Azure OpenAI, public internet access must be enabled unless your search service meets the creation date, tier, and region requirements for private connections. For more information about these requirements, see [Make outbound connections through a shared private link](search-indexer-howto-access-private.md).
 
-  Connections to Azure AI multi-service are for [billing purposes](cognitive-search-attach-cognitive-services.md). Billing occurs when API calls exceed the free transaction count (20 per indexer run) for built-in skills called by the **Import data** wizard or integrated vectorization in the **Import and vectorize data** wizard. 
+  Connections to Azure AI services multi-service are for [billing purposes](cognitive-search-attach-cognitive-services.md). Billing occurs when API calls exceed the free transaction count (20 per indexer run) for built-in skills called by the **Import data** wizard or integrated vectorization in the **Import and vectorize data** wizard. 
 
   If Azure AI Search can't connect:
 

@@ -126,7 +126,7 @@ You can create a shared private link for the following resources.
 
 <sup>7</sup> Shared private link for Azure OpenAI is only supported in public cloud and [Microsoft Azure Government](https://azure.microsoft.com/explore/global-infrastructure/government/). Other cloud offerings don't have support for shared private links for `openai_account` Group ID.
 
-<sup>8</sup> Shared private links are now supported (as of November 2024) for connections to Azure AI multiservice accounts. Azure AI Search connects to Azure AI multiservice for [billing purposes](cognitive-search-attach-cognitive-services.md). These connections can now be private through a shared private link. Shared private link is only supported when configuring [a managed identity (keyless configuration)](cognitive-search-attach-cognitive-services.md#bill-through-a-keyless-connection) in the skillset definition. 
+<sup>8</sup> Shared private links are now supported (as of November 2024) for connections to Azure AI services multi-service accounts. Azure AI Search connects to Azure AI services multi-service for [billing purposes](cognitive-search-attach-cognitive-services.md). These connections can now be private through a shared private link. Shared private link is only supported when configuring [a managed identity (keyless configuration)](cognitive-search-attach-cognitive-services.md#bill-through-a-keyless-connection) in the skillset definition. 
 
 ## 1 - Create a shared private link
 

@@ -31,9 +31,9 @@ If you get an error code 403 with the following message, you might have a proble
 
 * `"A Virtual Network is configured for this resource. Please use the correct endpoint for making requests. Check https://aka.ms/cogsvc-vnet for more details."`
 
-This error occurs if you have [configured a shared private link](search-indexer-howto-access-private.md) for connections to Azure AI multi-service, and the endpoint is missing a custom subdomain. A custom subdomain is the first part of the endpoint (for example, `http://my-custom-subdomain.cognitiveservices.azure.com`). A custom domain might be missing if you created the resource in Azure AI Foundry.
+This error occurs if you have [configured a shared private link](search-indexer-howto-access-private.md) for connections to Azure AI services multi-service, and the endpoint is missing a custom subdomain. A custom subdomain is the first part of the endpoint (for example, `http://my-custom-subdomain.cognitiveservices.azure.com`). A custom domain might be missing if you created the resource in Azure AI Foundry.
 
-If the Azure AI multi-service account isn't in the same region as Azure AI Search, [use a keyless connection](cognitive-search-attach-cognitive-services.md) when attaching a billable Azure AI resource.
+If the Azure AI services multi-service account isn't in the same region as Azure AI Search, [use a keyless connection](cognitive-search-attach-cognitive-services.md) when attaching a billable Azure AI resource.
 
 ### Firewall rules
 

@@ -150,7 +150,7 @@ Indexers can access other Azure resources [over private endpoints](search-indexe
 | Maximum private endpoints | N/A | 10 or 30 | 100 | 400 | 400 | N/A | 20 | 20 |
 | Maximum distinct resource types <sup>3</sup> | N/A | 4 | 7 | 15 | 15 | N/A | 4 | 4 |
 
-<sup>1</sup> AI enrichment and image analysis are computationally intensive and consume disproportionate amounts of available processing power. For this reason, private connections are disabled on lower tiers to ensure the performance and stability of the search service itself. On basic services, private connections to an Azure AI multi-service resource are unsupported to preserve service stability. For the S1 tier, make sure the service was created with [higher limits](search-limits-quotas-capacity.md#partition-storage-gb) after April 3, 2024. 
+<sup>1</sup> AI enrichment and image analysis are computationally intensive and consume disproportionate amounts of available processing power. For this reason, private connections are disabled on lower tiers to ensure the performance and stability of the search service itself. On basic services, private connections to an Azure AI services multi-service resource are unsupported to preserve service stability. For the S1 tier, make sure the service was created with [higher limits](search-limits-quotas-capacity.md#partition-storage-gb) after April 3, 2024. 
 
 <sup>2</sup> Private connections to an embedding model are supported on basic and S1 high-capacity search services created after April 3, 2024, with the [higher limits](search-limits-quotas-capacity.md#partition-storage-gb) for storage and computational processing. 
 

@@ -55,7 +55,7 @@ If you plan to use indexers for automated indexing, applied AI, or integrated ve
 For integrated vectorization, your search service identity needs the following roles:
 
 + Storage Blob Data Reader on Azure Storage
-+ Cognitive Services Data User on an Azure AI multiservice account
++ Cognitive Services Data User on an Azure AI services multi-service account
 
 Role assignments can take several minutes to take effect.
 

@@ -26,7 +26,7 @@ Some features take a dependency on other Azure services or infrastructure that a
 | [Extra capacity](search-limits-quotas-capacity.md#service-limits) | Higher capacity partitions became available in selected regions starting in April 2024 with a second wave following in May 2024. Currently, there are just a few regions that *don't* offer higher capacity partitions. If you're using an older search service, create a new search service to benefit from more capacity at the same billing rate. |  Regional support for extra capacity is noted in the footnotes of this article. <p>Check [service age](vector-search-index-size.md#how-to-check-service-creation-date) to see if your search service was created after high capacity partitions became available. <p>To check the capacity of an existing service, [find your search service](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Search%2FsearchServices) and select the **Properties** tab in the middle of the Overview page.|
 | [Availability zones](search-reliability.md#availability-zone-support) | Divides a region's data centers into distinct physical location groups, providing high-availability within the same geo. | Regional support is noted in this article. |
 | [Semantic ranker](semantic-search-overview.md) | Takes a dependency on Microsoft-hosted models in specific regions. | Regional support is noted in this article. |
-| [AI service integration](cognitive-search-concept-intro.md) | Refers to [built-in skills](cognitive-search-predefined-skills.md) that make internal calls to Azure AI for enrichment and transformation during indexing. Integration requires that Azure AI Search coexists with an [Azure AI multi-service account](/azure/ai-services/multi-service-resource) in the same physical region. You can bypass region requirements if you use [identity-based connections](cognitive-search-attach-cognitive-services.md#bill-through-a-keyless-connection), currently in public review. | Regional support is noted in this article. |
+| [AI service integration](cognitive-search-concept-intro.md) | Refers to [built-in skills](cognitive-search-predefined-skills.md) that make internal calls to Azure AI for enrichment and transformation during indexing. Integration requires that Azure AI Search coexists with an [Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills) in the same physical region. You can bypass region requirements if you use [identity-based connections](cognitive-search-attach-cognitive-services.md#bill-through-a-keyless-connection), currently in public review. | Regional support is noted in this article. |
 | [Azure OpenAI integration](vector-search-integrated-vectorization.md)  | Refers to the AzureOpenAIEmbedding skill and vectorizer that make internal calls to deployed embedding models on Azure OpenAI. | Check [Azure OpenAI model region availability](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) for the most current list of regions for each embedding and chat model. Specific Azure OpenAI models are in fewer regions, so check for model availability first, and then verify Azure AI Search is available in the same region.|
 | [Azure AI Foundry integration](vector-search-integrated-vectorization-ai-studio.md) | Refers to skills and vectorizers that make internal calls to the models hosted in the model catalog. | Check [Azure AI Foundry region availability](/azure/ai-foundry/reference/region-support) for the most current list of regions. |
 | [Azure AI Vision 4.0 multimodal APIs](search-get-started-portal-image-search.md) | Refers to the Azure AI Vision multimodal embeddings skill and vectorizer that call the multimodal embedding API. | Check the [Azure AI Vision region list](/azure/ai-services/computer-vision/overview-image-analysis#region-availability) first, and then verify Azure AI Search is available in the same region.|
@@ -35,7 +35,7 @@ Some features take a dependency on other Azure services or infrastructure that a
 
 You can create an Azure AI Search resource in any of the following Azure public regions. Almost all of these regions support [higher capacity tiers](search-limits-quotas-capacity.md#service-limits). Exceptions are noted where they apply.
 
-AI service integration refers to internal connections to an Azure AI multi-service account and doesn't include Azure OpenAI integration.
+AI service integration refers to internal connections to an Azure AI services multi-service account and doesn't include Azure OpenAI integration.
 
 ### Americas
 

@@ -37,14 +37,14 @@ You need the `synapseml` library and several Azure resources. If possible, use t
 
 + [SynapseML package](https://microsoft.github.io/SynapseML/docs/Get%20Started/Install%20SynapseML/#python) <sup>1</sup>
 + [Azure AI Search](search-create-service-portal.md) (any tier), with an **API Kind** of `AIServices` <sup>2</sup> 
-+ [Azure AI multi-service account](/azure/ai-services/multi-service-resource?pivots=azportal) (any tier) <sup>3</sup>
++ [Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills?pivots=azportal) (any tier) <sup>3</sup>
 + [Azure Databricks](/azure/databricks/scenarios/quickstart-create-databricks-workspace-portal?tabs=azure-portal) (any tier) with Apache Spark 3.3.0 runtime<sup>4</sup>
 
 <sup>1</sup> This link resolves to a tutorial for loading the package.
 
 <sup>2</sup> You can use the free search tier to index the sample data, but [choose a higher tier](search-sku-tier.md) if your data volumes are large. For billable tiers, provide the [search API key](search-security-api-keys.md#find-existing-keys) in the [Set up dependencies](#step-2-set-up-dependencies) step further on.
 
-<sup>3</sup> This tutorial uses Azure AI Document Intelligence and Azure AI Translator. In the instructions that follow, provide a [multi-service account](/azure/ai-services/multi-service-resource?pivots=azportal) key and the region. The same key works for both services. **It's important that you use an Azure AI multiservice account of API kind of `AIServices` for this tutorial**. You can check the API kind in the Azure portal on the Overview section of your Azure AI multiservice account page. For more information about API kind, see [Attach an Azure AI multi-service resource in Azure AI Search](cognitive-search-attach-cognitive-services.md).
+<sup>3</sup> This tutorial uses Azure AI Document Intelligence and Azure AI Translator. In the instructions that follow, provide a [multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills?pivots=azportal) key and the region. The same key works for both services. **It's important that you use an Azure AI services multi-service account of API kind of `AIServices` for this tutorial**. You can check the API kind in the Azure portal on the Overview section of your Azure AI services multi-service account page. For more information about API kind, see [Attach an Azure AI services multi-service resource in Azure AI Search](cognitive-search-attach-cognitive-services.md).
 
 <sup>4</sup> In this tutorial, Azure Databricks provides the Spark computing platform. We used the [portal instructions](/azure/databricks/scenarios/quickstart-create-databricks-workspace-portal?tabs=azure-portal) to set up the cluster and workspace.
 

@@ -84,7 +84,7 @@ Start here if you want to use built-in vectorization or chat models:
 
 Continue with the following link to confirm region and tier availability for AI Search:
 
-- [Azure AI Search region list](search-region-support.md). This list identifies region support for Azure AI Search, applied AI (Azure AI multi-service), and semantic ranking. You don't need a separate region check for applied AI.
+- [Azure AI Search region list](search-region-support.md). This list identifies region support for Azure AI Search, applied AI (Azure AI services multi-service), and semantic ranking. You don't need a separate region check for applied AI.
 
 > [!TIP]
 > Currently, these regions provide the most overlap and capacity: **East US**, **East US2**, **Central US​​**, and **South Central** in the Americas; **UK South** or **Switzerland North** in Europe; **Australia East** in Asia Pacific.
@@ -102,7 +102,7 @@ Continue with the following link to confirm region and tier availability for AI
 
 1. [Create an Azure OpenAI resource](/azure/ai-services/openai/how-to/create-resource?pivots=web-portal) as your model provider.
 
-1. [Create an Azure AI multiservice account](/azure/ai-services/multi-service-resource?pivots=azportal) to use applied AI in your indexing workloads and Azure AI Vision multimodal APIs as an embedding model provider. You can create and transform content during indexing if applied AI can be attached. For multimodal APIs, make sure you choose a region that provides those APIs. Look for this tile in Azure Marketplace:
+1. [Create an Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills?pivots=azportal) to use applied AI in your indexing workloads and Azure AI Vision multimodal APIs as an embedding model provider. You can create and transform content during indexing if applied AI can be attached. For multimodal APIs, make sure you choose a region that provides those APIs. Look for this tile in Azure Marketplace:
 
    :::image type="content" source="./media/search-try-for-free/azure-ai-service-marketplace.png" alt-text="Screenshot of the Azure AI Services offering in Azure Marketplace.":::
 

@@ -144,7 +144,7 @@ To set up managed identities for Azure OpenAI and Azure Machine Learning:
 
 To set up a managed identity for an Azure AI service:
 
-1. [Find your multiservice account](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/microsoft.cognitiveServices%2Faccounts).
+1. [Find your multi-service account](https://portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/microsoft.cognitiveServices%2Faccounts).
 1. On the leftmost pane, under **Resource management**, select **Identity**.
 1. Set **System-assigned** to **On**.
 
@@ -164,7 +164,7 @@ The trusted services are used for vectorization workloads: generating vectors fr
 
 1. Select **Next**.
 1. On the **Members** page, select **Managed identity** and **Select members**.
-1. Filter by system-managed identity and then select the managed identity of your Azure AI multiservice account.
+1. Filter by system-managed identity and then select the managed identity of your Azure AI services multi-service account.
 
 > [!NOTE]
 > This article covers the trusted exception for admitting requests to your search service, but Azure AI Search is itself on the trusted services list of other Azure resources. Specifically, you can use the trusted service exception for [connections from Azure AI Search to Azure Storage](search-indexer-howto-access-trusted-service-exception.md).

@@ -33,7 +33,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 - An **Owner** or **User Access Administrator** role on your Azure subscription, necessary for creating role assignments. You use at least three Azure resources in this tutorial. The connections are authenticated using Microsoft Entra ID, which requires the ability to create roles. Role assignments for connecting to models are documented in this article. If you can't create roles, you can use [API keys](search-security-api-keys.md) instead.
 
-- A model provider, such as [Azure OpenAI](/azure/ai-services/openai/how-to/create-resource), Azure AI Vision via an [Azure AI services multi-service resource](/azure/ai-services/multi-service-resource), or [Azure AI Foundry](https://ai.azure.com/).
+- A model provider, such as [Azure OpenAI](/azure/ai-services/openai/how-to/create-resource), Azure AI Vision via an [Azure AI services multi-service resource](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills), or [Azure AI Foundry](https://ai.azure.com/).
 
   We use Azure OpenAI in this tutorial. Other providers are listed so that you know your options for integrated vectorization.
 

@@ -41,7 +41,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 - [Azure OpenAI](/azure/ai-services/openai/how-to/create-resource), with a deployment of text-embedding-3-large, in the same region as Azure AI Search. For more information about embedding models used in RAG solutions, see [Choose embedding models for RAG in Azure AI Search](tutorial-rag-build-solution-models.md).
 
-- [Azure AI Service multiservice account](/azure/ai-services/multi-service-resource), in the same region as Azure AI Search. This resource is used for the Entity Recognition skill that detects locations in your content.
+- [Azure AI services multi-service account](/azure/ai-services/multi-service-resource#azure-ai-services-resource-for-azure-ai-search-skills), in the same region as Azure AI Search. This resource is used for the Entity Recognition skill that detects locations in your content.
 
 ## Download the sample
 
@@ -156,7 +156,7 @@ Skills are the basis for integrated data chunking and vectorization. At a minimu
 
 In this skillset, an extra skill is used to create structured data in the index. The [Entity Recognition skill](cognitive-search-skill-entity-recognition-v3.md) is used to identify locations, which can range from proper names to generic references, such as "ocean" or "mountain". Having structured data gives you more options for creating interesting queries and boosting relevance.
 
-The AZURE_AI_MULTISERVICE_KEY is needed even if you're using role-based access control. Azure AI Search uses the key for billing purposes and it's required unless your workloads stay under the free limit. You can also a keyless connection if you're using the most recent preview API or beta packages. For more information, see [Attach an Azure AI multi-service resource to a skillset](cognitive-search-attach-cognitive-services.md).
+The AZURE_AI_MULTISERVICE_KEY is needed even if you're using role-based access control. Azure AI Search uses the key for billing purposes and it's required unless your workloads stay under the free limit. You can also a keyless connection if you're using the most recent preview API or beta packages. For more information, see [Attach an Azure AI services multi-service resource to a skillset](cognitive-search-attach-cognitive-services.md).
 
 ```python
 from azure.search.documents.indexes.models import (

@@ -44,7 +44,7 @@ The following table lists the embedding models that can be used with a vectorize
 |-----------------|------------|----------------|------------------|
 | [`azureOpenAI`](vector-search-vectorizer-azure-open-ai.md) | text-embedding-ada-002, text-embedding-3 | Azure OpenAI | [AzureOpenAIEmbedding skill](cognitive-search-skill-azure-openai-embedding.md) |
 | [`aml`](vector-search-vectorizer-azure-machine-learning-ai-studio-catalog.md) | Facebook-DinoV2-Image-Embeddings, Cohere-embed-v3 | [Azure AI Foundry model catalog](vector-search-integrated-vectorization-ai-studio.md)  | [AML skill](cognitive-search-aml-skill.md) |
-| [`aiServicesVision`](vector-search-vectorizer-ai-services-vision.md) | [Multimodal embeddings 4.0 API](/azure/ai-services/computer-vision/concept-image-retrieval) | Azure AI Vision (through an Azure AI multi-service account) | [Azure AI Vision multimodal embeddings skill](cognitive-search-skill-vision-vectorize.md) |
+| [`aiServicesVision`](vector-search-vectorizer-ai-services-vision.md) | [Multimodal embeddings 4.0 API](/azure/ai-services/computer-vision/concept-image-retrieval) | Azure AI Vision (through an Azure AI services multi-service account) | [Azure AI Vision multimodal embeddings skill](cognitive-search-skill-vision-vectorize.md) |
 | [`customWebApi`](vector-search-vectorizer-custom-web-api.md) | Any embedding model | Hosted externally | [Custom Web API skill](cognitive-search-custom-skill-web-api.md) |
 
 ## Try a vectorizer with sample data

@@ -76,7 +76,7 @@ The diagram focuses on integrated vectorization, but your solution isn't limited
 
 ## Availability and pricing
 
-Integrated vectorization is available in all regions and tiers. However, if you're using Azure OpenAI and Azure AI skills and vectorizers, make sure your Azure AI multi-service account is [available in the same regions as Azure AI Search](search-region-support.md).
+Integrated vectorization is available in all regions and tiers. However, if you're using Azure OpenAI and Azure AI skills and vectorizers, make sure your Azure AI services multi-service account is [available in the same regions as Azure AI Search](search-region-support.md).
 
 If you're using a custom skill and an Azure hosting mechanism (such as an Azure function app, Azure Web App, and Azure Kubernetes), check the [Azure product by region page](https://azure.microsoft.com/explore/global-infrastructure/products-by-region/?products=search) for feature availability.