Update vector-search-vectorizer-ai-services-vision.md

Updated with version support link and region availability of the model.

Author: gmndrg

articles/search/vector-search-vectorizer-ai-services-vision.md

@@ -8,15 +8,15 @@ ms.service: cognitive-search
 ms.custom:
   - build-2024
 ms.topic: reference
-ms.date: 05/28/2024
+ms.date: 06/14/2024
 ---
 
 # Azure AI Vision vectorizer
 
 > [!IMPORTANT] 
 > This feature is in public preview under [Supplemental Terms of Use](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). The [2024-05-01-Preview REST API](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-05-01-Preview&preserve-view=true) supports this feature.
 
-The **Azure AI Vision** vectorizer connects to an Azure AI Vision resource to generate embeddings at query time using [the Multimodal embeddings API](../ai-services/computer-vision/concept-image-retrieval.md). Your data is processed in the [Geo](https://azure.microsoft.com/explore/global-infrastructure/data-residency/) where your model is deployed. 
+The **Azure AI Vision** vectorizer connects to an Azure AI Vision resource to generate embeddings at query time using [the Multimodal embeddings API](../ai-services/computer-vision/concept-image-retrieval.md). Refer to the [region availability for multimodal embeddings](../ai-services/computer-vision/overview-image-analysis.md?tabs=4-0#region-availability) to determine the regions where this model is accessible. Your data is processed in the [Geo](https://azure.microsoft.com/explore/global-infrastructure/data-residency/) where your model is deployed. 
 
 > [!NOTE]
 > This vectorizer is bound to Azure AI services. Execution of the vectorizer is charged at the existing [Azure AI services pay-as-you go price](https://azure.microsoft.com/pricing/details/cognitive-services/).
@@ -29,7 +29,7 @@ Parameters are case-sensitive.
 |---------------------|-------------|
 | `resourceUri` | The URI of the AI Services resource.  |
 | `apiKey`   |  The API key of the AI Services resource. |
-| `modelVersion` | (Required) The model version to be passed to the Azure AI Vision API for generating embeddings. It's important that all embeddings stored in a given index field are generated using the same `modelVersion`. |
+| `modelVersion` | (Required) The model version to be passed to the Azure AI Vision API for generating embeddings. It's important that all embeddings stored in a given index field are generated using the same `modelVersion`. For information about version support for this model refer to [multimodal embeddings](../ai-services/computer-vision/concept-image-retrieval.md#what-are-vector-embeddings). |
 | `authIdentity`   | A user-managed identity used by the search service for connecting to AI Services. You can use either a [system or user managed identity](search-howto-managed-identities-data-sources.md). To use a system manged identity, leave `apiKey` and `authIdentity` blank. The system-managed identity is used automatically. A managed identity must have Cognitive Services User permissions to use this vectorizer. |
 
 ## Supported vector query types
@@ -61,4 +61,4 @@ A field configured with the Azure AI Vision vectorizer should have a dimensions
 
 + [Integrated vectorization](vector-search-integrated-vectorization.md)
 + [How to configure a vectorizer in a search index](vector-search-how-to-configure-vectorizer.md)
-+ [Azure AI Vision Vectorize skill](cognitive-search-skill-vision-vectorize.md)
++ [Azure AI Vision Vectorize skill](cognitive-search-skill-vision-vectorize.md)