Merge pull request #837 from gmndrg/main

AI Studio account with AOAI clarification and custom subdomain requirment

Author: prmerger-automator[bot]

articles/search/cognitive-search-skill-azure-openai-embedding.md

@@ -9,13 +9,17 @@ ms.custom:
   - ignite-2023
   - build-2024
 ms.topic: reference
-ms.date: 08/05/2024
+ms.date: 10/16/2024
 ---
 
 #	Azure OpenAI Embedding skill
 
 The **Azure OpenAI Embedding** skill connects to a deployed embedding model on your [Azure OpenAI](/azure/ai-services/openai/overview) resource to generate embeddings during indexing. Your data is processed in the [Geo](https://azure.microsoft.com/explore/global-infrastructure/data-residency/) where your model is deployed. 
 
+Your Azure OpenAI Service must have an associated [custom subdomain](/azure/ai-services/cognitive-services-custom-subdomains). 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.
+
+Note that Azure OpenAI models created with an AI Studio service account are not supported. Only models from the Azure OpenAI Service are compatible with this integration. 
+
 The [Import and vectorize data wizard](search-get-started-portal-import-vectors.md) in the Azure portal uses the **Azure OpenAI Embedding** skill to vectorize content. You can run the wizard and review the generated skillset to see how the wizard builds the skill for embedding models. 
 
 > [!NOTE]

articles/search/search-get-started-portal-import-vectors.md

@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - build-2024
 ms.topic: quickstart
-ms.date: 08/13/2024
+ms.date: 10/16/2024
 ---
 
 # Quickstart: Vectorize text and images by using the Azure portal
@@ -47,6 +47,10 @@ Key points about the wizard:
   | [Azure AI Studio model catalog](/azure/ai-studio/what-is-ai-studio) |  Azure, Cohere, and Facebook embedding models. |
   | [Azure AI services multiservice 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. Azure AI Vision multimodal is available in selected regions. [Check the documentation](/azure/ai-services/computer-vision/how-to/image-retrieval?tabs=csharp) for an updated list. **To use this resource, the account must be in an available region and in the same region as Azure AI Search**. |
 
+If using the Azure OpenAI Service, it must have an associated [custom subdomain](/azure/ai-services/cognitive-services-custom-subdomains). 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.
+
+Note that Azure OpenAI models created with an AI Studio service account are not supported. Only models from the Azure OpenAI Service are compatible with the Azure OpenAI integration. 
+
 ### Public endpoint requirements
 
 All of the preceding resources must have public access enabled so that the portal nodes can access them. Otherwise, the wizard fails. After the wizard runs, you can enable firewalls and private endpoints on the integration components for security. For more information, see [Secure connections in the import wizards](search-import-data-portal.md#secure-connections).

articles/search/vector-search-vectorizer-azure-open-ai.md

@@ -8,13 +8,17 @@ ms.service: azure-ai-search
 ms.custom:
   - build-2024
 ms.topic: reference
-ms.date: 08/05/2024
+ms.date: 10/16/2024
 ---
 
 # Azure OpenAI vectorizer
 
 The **Azure OpenAI** vectorizer connects to a deployed embedding model on your [Azure OpenAI](/azure/ai-services/openai/overview) resource to generate embeddings at query time. Your data is processed in the [Geo](https://azure.microsoft.com/explore/global-infrastructure/data-residency/) where your model is deployed. 
 
+Your Azure OpenAI Service must have an associated [custom subdomain](/azure/ai-services/cognitive-services-custom-subdomains). 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.
+
+Note that Azure OpenAI models created with an AI Studio service account are not supported. Only models from the Azure OpenAI Service are compatible with this integration. 
+
 Vectorizers are used at query time, but specified in index definitions, and referenced on vector fields through a vector profile. The Azure OpenAI vectorizer is called `AzureOpenAIVectorizer` in the API. 
 
 + Use the [**2024-07-01**](/rest/api/searchservice/indexes/create) REST API or an Azure SDK package that's been updated to provide the feature.