Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into evalfixes0524

Author: lgayhardt

articles/ai-foundry/how-to/create-projects.md

@@ -176,7 +176,7 @@ In addition, many resources are only accessible by users in your project workspa
 
 ## Related content
 
-- [Deploy an enterprise chat web app](../tutorials/deploy-chat-web-app.md)
+- [Quickstart: Get started with Azure AI Foundry](../quickstarts/get-started-code.md?pivots=hub-project)
 
 - [Learn more about Azure AI Foundry](../what-is-azure-ai-foundry.md)
 

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

@@ -18,11 +18,11 @@ ms.custom: include
 * This project type gives you the best support for:
 
     * Agents
-    * Azure OpenAI models	
-    * Model inferencing
+    * AI Model Inference including Azure Open AI	
     * AI Foundry API that works with agents and across models	
-    * Upload files without needing your own Azure Storage account
+    * Project files (directly upload files and start experimenting)
     * Evaluations
+    * Fine-tuning
     * Playgrounds
 
 ## Prerequisites
@@ -209,5 +209,5 @@ az cognitiveservices account connection show --name {my_project_name} --resource
 
 ## Related content
 
-- [Deploy an enterprise chat web app](../tutorials/deploy-chat-web-app.md)
+- [Quickstart: Get started with Azure AI Foundry](../quickstarts/get-started-code.md?pivots=fdp-project)
 - [Learn more about Azure AI Foundry](../what-is-azure-ai-foundry.md)

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

@@ -66,13 +66,14 @@ Your first project (default project) plays a special role and has access to more
 
     # [Azure CLI](#tab/azurecli)
 
-    Use your existing values for {my_resource_group} and {foundry_resource_name} to add another project to the resource:
+    <!-- Use your existing values for {my_resource_group} and {foundry_resource_name} to add another project to the resource:
 
     ```azurecli
      az cognitiveservices account project create --resource-group {my_resource_group} --name {my_project_name} --account-name {foundry_resource_name} 
     ```
-    
-    
+     -->
+    CLI comannds not currently available for creating a [!INCLUDE [fdp-project-name](fdp-project-name.md)].
+
     ---
 
 * If you delete your Foundry resource's default project, the next project created will become the default project. 

articles/ai-foundry/quickstarts/get-started-code.md

@@ -4,7 +4,7 @@ titleSuffix: Azure AI Foundry
 description: This article provides instructions on how to start using the Azure AI Foundry portal and the Azure AI Foundry SDK.
 manager: scottpolly
 ms.service: azure-ai-foundry
-ms.custom: build-2024, devx-track-azurecli, devx-track-python, ignite-2024, update-code3
+ms.custom: build-2024, devx-track-azurecli, devx-track-python, ignite-2024, update-code4
 ms.topic: how-to
 ms.date: 05/12/2025
 ms.reviewer: dantaylo

articles/ai-foundry/tutorials/screen-reader.md

@@ -89,7 +89,7 @@ The chat session pane is where you can chat to the model and test out your assis
 
 Azure AI Foundry has two different project types - see [What is Azure AI Foundry?](../what-is-azure-ai-foundry.md#project-types).  The type appears in the  **Type** column in the **All resources** view. In the recent resources picker, the type is in a second line under the project name.
 
-- Listen for **(AI Services)** for a [!INCLUDE [fdp-project-name](../includes/fdp-project-name.md)].  
+- Listen for either **(AI Foundry)** or **Foundry project** for a [!INCLUDE [fdp-project-name](../includes/fdp-project-name.md)].  
 - Listen for **(Hub)** for a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)].
 
 

articles/ai-foundry/what-is-azure-ai-foundry.md

@@ -51,15 +51,14 @@ This table summarizes features available in the two project types:
 | Capability | [!INCLUDE [fdp](includes/fdp-project-name.md)] | [!INCLUDE[hub](includes/hub-project-name.md)] |
 | --- | --- | --- |
 | Agents | ✅ (GA) | ✅ (Preview only) |
-| Azure OpenAI models | ✅ | |
-| Model inferencing | ✅ | |
-| AI Foundry API that works with agents and across models | ✅ | |
-| Common filestore | ✅ | |
-| Project-level isolation of files and outputs | ✅ | ✅ |
+| Azure OpenAI models | ✅ (Native support) | Available via connections |
+| Project files (directly upload files and start experimenting) | ✅ | |
+| Project-level isolation of files and outputs | ✅ | ✅|
 | Evaluations | ✅ | ✅ |
 | Playground | ✅ | ✅ |
 | Prompt flow |  | ✅ |
 | Managed compute  |  | ✅ |
+| Required Azure dependencies | - | Azure Storage account, Azure Key Vault |
 
 ## Navigate in the Azure AI Foundry portal
 
@@ -70,7 +69,7 @@ The left pane is organized around your goals. Generally, as you develop with Azu
 * **Define and explore**. In this stage you define your project goals, and then explore and test models and services against your use case to find the ones that enable you to achieve your goals.
 * **Build and customize**. In this stage, you're actively building solutions and applications with the models, tools, and capabilities you selected. You can also customize models to perform better for your use case by fine-tuning, grounding in your data, and more. Building and customizing might be something you choose to do in the Azure AI Foundry portal, or through code and the Azure AI Foundry SDKs. Either way, a project provides you with everything you need.
   * Once you're actively developing in your project, the **Overview** page shows the things you want easy access to, like your endpoints and keys.
-* **Assess and improve**. In this stage, you're looking for where you can improve your application's performance. You might choose to use tools like tracing to debug your application or compare evaluations to hone in on how you want your application to behave. You can also integrate with safety & security systems so you can be confident when you take your application to production.
+* **Observe and improve**. In this stage, you're looking for where you can improve your application's performance. You might choose to use tools like tracing to debug your application or compare evaluations to hone in on how you want your application to behave. You can also integrate with safety & security systems so you can be confident when you take your application to production.
 
 If you're an admin, or leading a development team, and need to manage the team's resources, project access, quota, and more, you can do that in the Management Center.
 
@@ -110,13 +109,10 @@ Azure AI Foundry is available in most regions where Azure AI services are availa
 
 You can [explore Azure AI Foundry portal (including the model catalog)](./how-to/model-catalog-overview.md) without signing in. 
 
-But for full functionality there are some requirements:
-
-You need an [Azure account](https://azure.microsoft.com/pricing/purchase-options/azure-account). 
+But for full functionality, you need an [Azure account](https://azure.microsoft.com/pricing/purchase-options/azure-account). 
 
 ## Related content
 
-- [Quickstart: Use the chat playground in Azure AI Foundry portal](quickstarts/get-started-playground.md)
-- [Build a custom chat app in Python using the Azure AI SDK](quickstarts/get-started-code.md)
+- [Quickstart: Get started with Azure AI Foundry](quickstarts/get-started-code.md)
 - [Create a project](./how-to/create-projects.md)
 - [Get started with an AI template](how-to/develop/ai-template-get-started.md)

articles/ai-services/.openpublishing.redirection.ai-services.json

@@ -1149,6 +1149,22 @@
       "source_path_from_root": "/articles/ai-services/speech-service/how-to-async-meeting-transcription.md",
       "redirect_url": "/azure/ai-services/speech-service/multi-device-conversation",
       "redirect_document_id": false
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/content-understanding/concepts/capabilities.md",
+      "redirect_url": "/azure/ai-services/content-understanding/concepts/analyzer-templates",
+      "redirect_document_id": true
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/content-understanding/concepts/retrieval-augmented-generation.md",
+      "redirect_url": "/azure/ai-services/content-understanding/tutorial/build-rag-solution",
+      "redirect_document_id": true
+    },
+    {
+      "source_path_from_root": "/articles/ai-services/content-understanding/concepts/accuracy-confidence.md",
+      "redirect_url": "/azure/ai-services/content-understanding/concepts/best-practices",
+      "redirect_document_id": true
     }
+
   ]
 }

articles/ai-services/cognitive-services-data-loss-prevention.md

@@ -24,7 +24,7 @@ There are two parts to enable data loss prevention. First, the resource property
 >[!NOTE]
 >
 > * The `allowedFqdnList`  property value supports a maximum of 1000 URLs.
-> * The property supports both IP addresses (IPv4 only) and fully qualified domain names (i.e., `www.microsoft.com`) as values.
+> * The property supports fully qualified domain names (i.e., `www.microsoft.com`) as values.
 > * It can take up to 15 minutes for the updated list to take effect. 
 
 # [Azure CLI](#tab/azure-cli)