Merge pull request #5922 from MicrosoftDocs/main

Merged by Learn.Build PR Management system

Author: learn-build-service-prod[bot]

.openpublishing.publish.config.json

@@ -188,6 +188,12 @@
       "branch": "main",
       "branch_mapping": {}
     },
+    {
+      "path_to_root": "azure-search-dotnet-samples",
+      "url": "https://github.com/Azure-Samples/azure-search-dotnet-samples",
+      "branch": "main",
+      "branch_mapping": {}
+    },
     {
       "path_to_root": "azureai-model-inference-bicep",
       "url": "https://github.com/Azure-Samples/azureai-model-inference-bicep",

articles/ai-foundry/agents/how-to/tools/deep-research.md

@@ -37,6 +37,7 @@ The deep research tool is tightly integrated with Grounding with Bing Search and
 
 ## Region support
 The Deep Research tool is supported in the following regions where the deep research model is available for deployment.
+
 |West US  | Norway East |
 |---------|---------|
 | ✔️ | ✔️ | 

articles/ai-foundry/how-to/create-azure-ai-resource.md

@@ -9,7 +9,7 @@ ms.custom:
   - build-2024
   - ignite-2024
 ms.topic: how-to
-ms.date: 05/08/2025
+ms.date: 07/08/2025
 ms.reviewer: deeikele
 ms.author: sgilley
 author: sdgilley
@@ -33,7 +33,7 @@ In this article, you learn how to create and manage a hub in Azure AI Foundry po
 
 If your organization is using [Azure Policy](/azure/governance/policy/overview), set up a hub that meets your organization's requirements instead of using Azure AI Foundry for resource creation. 
 
-1. From the Azure portal, search for `Azure AI Foundry`. From the left menu, select **AI Hubs**, and then select **+ Create** and **Hub**.
+1. From the [Azure portal](https://portal.azure.com), search for `Azure AI Foundry`. From the left menu, select **AI Hubs**, and then select **+ Create** and **Hub**.
 
     :::image type="content" source="../media/how-to/hubs/create-hub.png" alt-text="Screenshot of the Azure AI Foundry portal." lightbox="../media/how-to/hubs/create-hub.png":::
 
@@ -61,18 +61,19 @@ If your organization is using [Azure Policy](/azure/governance/policy/overview),
 
 1. Select **Review + create** > **Create**. 
 
-## Manage your hub from the Azure portal
 
-### Manage access control
+## Manage access control
 
-You can add and remove users from the Azure AI Foundry portal management center. Both the hub and projects within the hub have a **Users** entry in the left-menu that allows you to add and remove users. When adding users, you can assign them built-in roles.
+You can add and remove users from the [Azure AI Foundry portal](https://ai.azure.com?cid=LearnDocs) management center. Both the hub and projects within the hub have a **Users** entry in the left-menu that allows you to add and remove users. When adding users, you can assign them built-in roles.
 
 :::image type="content" source="../media/how-to/hubs/studio-user-management.png" alt-text="Screenshot of the users area of the management center for a hub." lightbox="../media/how-to/hubs/studio-user-management.png":::
 
 For custom role assignments, use **Access control (IAM)** within the Azure portal.
 
 To add grant users permissions from the Azure portal, see the [Azure role assignments](/azure/role-based-access-control/role-assignments-portal) article.
 
+## Manage your hub from the Azure AI Foundry portal
+
 ### Networking
 
 Hub networking settings can be set during resource creation or changed in the **Networking** tab in the Azure portal view. Creating a new hub invokes a Managed Virtual Network. This streamlines and automates your network isolation configuration with a built-in Managed Virtual Network. The Managed Virtual Network settings are applied to all projects created within a hub. 
@@ -147,12 +148,12 @@ After your hub is created, it isn't possible to switch between Your Azure Key Va
 
 ## Delete an Azure AI Foundry hub
 
-To delete a hub from Azure AI Foundry, select the hub and then select **Delete hub** from the **Hub properties** section of the page.
+To delete a hub from [Azure AI Foundry](https://ai.azure.com?cid=LearnDocs), select the hub and then select **Delete hub** from the **Hub properties** section of the page.
 
 :::image type="content" source="../media/how-to/hubs/studio-delete-hub.png" alt-text="Screenshot of the delete hub link in hub properties." lightbox="../media/how-to/hubs/studio-delete-hub.png":::
 
 > [!NOTE]
-> You can also delete the hub from the Azure portal.
+> You can also delete the hub from the [Azure portal](https://portal.azure.com).
 
 Deleting a hub deletes all associated projects. When a project is deleted, all nested endpoints for the project are also deleted. You can optionally delete connected resources; however, make sure that no other applications are using this connection. For example, another Azure AI Foundry deployment might be using it.
 

articles/ai-foundry/how-to/create-secure-ai-hub.md

@@ -7,7 +7,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - build-2024
 ms.topic: how-to
-ms.date: 05/09/2025
+ms.date: 07/08/2025
 ms.reviewer: meerakurup 
 ms.author: sgilley
 author: sdgilley
@@ -31,7 +31,7 @@ You can secure your [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) hub,
 
 ## Create a hub
 
-1. From the Azure portal, search for `Azure AI Foundry`. From the left menu, select **AI Hubs**, and then select **+ Create** and **Hub**.
+1. From the [Azure portal](https://portal.azure.com), search for `Azure AI Foundry`. From the left menu, select **AI Hubs**, and then select **+ Create** and **Hub**.
 
     :::image type="content" source="../media/how-to/hubs/create-hub.png" alt-text="Screenshot of the Azure AI Foundry portal." lightbox="../media/how-to/hubs/create-hub.png":::
 

articles/ai-foundry/includes/create-project-fdp.md

@@ -47,7 +47,7 @@ Use the following tabs to select the method you plan to use to create a [!INCLUD
 - [Set up your development environment](../how-to/develop/install-cli-sdk.md?tabs=python)
 - Authenticate with `az login` or `az login --use-device-code` in your environment before running code.
 - Complete these steps to start your Python script:
-    1. Install packages: `pip install azure-identity azure-mgmt-cognitiveservices==13.7.0b1
+    1. Install packages: `pip install azure-identity azure-mgmt-cognitiveservices~=13.7.0b1
 `. If in a notebook cell, use `%pip install` instead
 `.
     1. Use `pip show azure-mgmt-cognitiveservices` to verify your version is 13.7 or greater.

articles/ai-foundry/openai/how-to/fine-tuning-safety-evaluation.md

@@ -17,9 +17,9 @@ GPT-4o, GPT-4o-mini, and GPT-4 are our most advanced models that can be fine-tun
 
 - Evaluations are conducted in dedicated, customer specific, private workspaces;
 - Evaluation endpoints are in the same geography as the Azure OpenAI resource;
-- Training data is not stored in connection with performing evaluations; only the final model assessment (deployable or not deployable) is persisted; and
+- Training data isn't stored in connection with performing evaluations; only the final model assessment (deployable or not deployable) is persisted; and
 
-GPT-4o, GPT-4o-mini, and GPT-4 fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you might have created.
+GPT-4o, GPT-4o-mini, and GPT-4 fine-tuned model evaluation filters are set to predefined thresholds and can't be modified by customers; they aren't tied to any custom content filtering configuration you might have created.
 
 ## Data evaluation
 
@@ -51,9 +51,10 @@ This model is unable to be deployed. Model evaluation identified that this fine
 
 As with data evaluation, the model is evaluated automatically within your fine-tuning job as part of providing the fine-tuning capability. Only the resulting assessment (deployable or not deployable) is logged by the service. If deployment of the fine-tuned model fails due to the detection of harmful content in model outputs, you won't be charged for the training run.
 
-
 ## Next steps
 
+- To modify content safety for fine-tuning refer to terms listed in the [form](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xUMlBQNkZMR0lFRldORTdVQzQ0TEI5Q1ExOSQlQCN0PWcu)
+
 - Explore the fine-tuning capabilities in the [Azure OpenAI fine-tuning tutorial](../tutorials/fine-tune.md).
 - Review fine-tuning [model regional availability](../concepts/models.md#fine-tuning-models)
 - Learn more about [Azure OpenAI quotas](../quotas-limits.md)

articles/search/hybrid-search-how-to-query.md

@@ -50,7 +50,7 @@ In this article, learn how to:
 
 1. Under **View**, select **JSON view** so that you can paste in a vector query. 
 
-1. Replace the default query template with a hybrid query, such as the "Run a hybrid query" example starting on line 539 in the [vector quickstart](https://raw.githubusercontent.com/Azure-Samples/azure-search-rest-samples/refs/heads/main/Quickstart-vectors/az-search-vector-quickstart.rest). For brevity, the vector is truncated in this article. 
+1. Replace the default query template with a hybrid query, such as the "Run a hybrid query" example starting on line 539 in the [vector quickstart](https://raw.githubusercontent.com/Azure-Samples/azure-search-rest-samples/refs/heads/main/Quickstart-vectors/az-search-quickstart-vectors.rest). For brevity, the vector is truncated in this article. 
 
    A hybrid query has a text query specified in `search`, and a vector query specified under `vectorQueries.vector`.