Merge pull request #271706 from MicrosoftDocs/main

4/10 11:00 AM IST Publish

Author: Saisang

.acrolinx-config.edn

@@ -1,2 +1,2 @@
 {:allowed-branchname-matches ["main" "release-.*"]
- :allowed-filename-matches ["(?i)articles/(?:(?!active-directory/saas-apps/toc.yml|role-based-access-control/resource-provider-operations.md|.*policy/samples/|.*resource-graph/samples/))" "(?i)includes/(?:(?!policy/reference/|policy/standards/))"]}
+ :allowed-filename-matches ["(?i)articles/(?:(?!active-directory/saas-apps/toc.yml|role-based-access-control/resource-provider-operations.md|.*policy/samples/|.*resource-graph/samples/))" "(?i)includes/(?:(?!policy/reference/|policy/standards/|resource-graph/samples/))"]}

articles/ai-services/language-service/question-answering/how-to/azure-openai-integration.md

@@ -74,4 +74,4 @@ At the same time, customers often require a custom answer authoring experience t
 You can now start exploring Azure OpenAI capabilities with a no-code approach through the chat playground. It's simply a text box where you can submit a prompt to generate a completion. From this page, you can quickly iterate and experiment with the capabilities. You can also launch a [web app](../../../openai/how-to/use-web-app.md) to chat with the model over the web.
 
 ## Next steps
-* [Using Azure OpenAI on your data](../../../openai/concepts/use-your-data.md) 
+* [Using Azure OpenAI on your data](../../../openai/concepts/use-your-data.md)

articles/ai-services/language-service/question-answering/overview.md

@@ -13,6 +13,9 @@ ms.custom: language-service-question-answering
 
 # What is custom question answering?
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure Open AI On Your Data, please check out our [guide]( how-to/azure-openai-integration.md).
+
 Custom question answering provides cloud-based Natural Language Processing (NLP) that allows you to create a natural conversational layer over your data. It is used to find appropriate answers from customer input or from a project.
 
 Custom question answering is commonly used to build conversational client applications, which include social media applications, chat bots, and speech-enabled desktop applications. This offering includes features like enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support.

articles/ai-services/language-service/question-answering/quickstart/sdk.md

@@ -15,6 +15,9 @@ zone_pivot_groups: custom-qna-quickstart
 
 # Quickstart: custom question answering
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to Custom Question Answering. If you wish to connect an existing Custom Question Answering project to Azure Open AI On Your Data, please check out our [guide](../how-to/azure-openai-integration.md).
+
 > [!NOTE]
 > Are you looking to migrate your workloads from QnA Maker? See our [migration guide](../how-to/migrate-qnamaker-to-question-answering.md) for information on feature comparisons and migration steps.
 

articles/ai-services/qnamaker/Overview/overview.md

@@ -13,6 +13,9 @@ keywords: "qna maker, low code chat bots, multi-turn conversations"
 
 # What is QnA Maker?
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 
 [!INCLUDE [Azure AI services rebrand](../../includes/rebrand-note.md)]

articles/ai-services/qnamaker/Quickstarts/add-question-metadata-portal.md

@@ -13,6 +13,9 @@ ms.custom: mode-ui
 
 # Add questions and answer with QnA Maker portal
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+
 Once a knowledge base is created, add question and answer (QnA) pairs with metadata to filter the answer. The questions in the following table are about Azure service limits, but each has to do with a different Azure search service.
 
 [!INCLUDE [Custom question answering](../includes/new-version.md)]

articles/ai-services/qnamaker/Quickstarts/create-publish-knowledge-base.md

@@ -13,6 +13,9 @@ ms.custom: mode-other
 
 # Quickstart: Create, train, and publish your QnA Maker knowledge base
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 
 You can create a QnA Maker knowledge base (KB) from your own content, such as FAQs or product manuals. This article includes an example of creating a QnA Maker knowledge base from a simple FAQ webpage, to answer questions.

articles/ai-services/qnamaker/Quickstarts/get-answer-from-knowledge-base-using-url-tool.md

@@ -15,6 +15,9 @@ ms.date: 01/19/2024
 
 # Get an answer from a QNA Maker knowledge base
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+
 [!INCLUDE [Custom question answering](../includes/new-version.md)]
 
 > [!NOTE]

articles/ai-services/qnamaker/Quickstarts/quickstart-sdk.md

@@ -15,6 +15,9 @@ zone_pivot_groups: qnamaker-quickstart
 
 # Quickstart: QnA Maker client library
 
+> [!NOTE]
+> [Azure Open AI On Your Data](../../openai/concepts/use-your-data.md) utilizes large language models (LLMs) to produce similar results to QnA Maker. If you wish to migrate your QnA Maker project to Azure Open AI On Your Data, please check out our [guide](../How-To/migrate-to-openai.md).
+
 Get started with the QnA Maker client library. Follow these steps to install the package and try out the example code for basic tasks.
 
 [!INCLUDE [Custom question answering](../includes/new-version.md)]

articles/application-gateway/ipv6-application-gateway-portal.md

@@ -14,7 +14,7 @@ ms.custom: mvc, mode-ui
 # Configure Application Gateway with a frontend public IPv6 address using the Azure portal
 
 > [!IMPORTANT]
-> Application Gateway IPv6 support is now generally available. Updates to the Azure portal for IPv6 support are currently being deployed across all regions and will be fully available within the next few weeks. In the meantime to use the portal to create an IPv6 Application Gateway continue using the [preview registration process](/azure/azure-resource-manager/management/preview-features?tabs=azure-portal) in the Azure portal to opt in for **Allow Application Gateway IPv6 Access**. 
+> Application Gateway IPv6 support is now generally available. 
 
 [Azure Application Gateway](overview.md) supports dual stack (IPv4 and IPv6) frontend connections from clients. To use IPv6 frontend connectivity, you need to create a new Application Gateway. Currently you can’t upgrade existing IPv4 only Application Gateways to dual stack (IPv4 and IPv6) Application Gateways. Also, currently backend IPv6 addresses aren't supported.
 
@@ -37,7 +37,7 @@ You can also complete this quickstart using [Azure PowerShell](ipv6-application-
 
 ## Regions and availability
 
-The IPv6 Application Gateway preview is available to all public cloud regions where Application Gateway v2 SKU is supported. It's also available in [Microsoft Azure operated by 21Vianet](https://www.azure.cn/) and [Azure Government](https://azure.microsoft.com/overview/clouds/government/)
+The IPv6 Application Gateway is available to all public cloud regions where Application Gateway v2 SKU is supported. It's also available in [Microsoft Azure operated by 21Vianet](https://www.azure.cn/) and [Azure Government](https://azure.microsoft.com/overview/clouds/government/)
 
 ## Limitations
 
@@ -56,7 +56,7 @@ An Azure account with an active subscription is required.  If you don't already
 
 Sign in to the [Azure portal](https://portal.azure.com) with your Azure account.
 
-Use the [preview registration process](/azure/azure-resource-manager/management/preview-features?tabs=azure-portal) in the Azure portal to **Allow Application Gateway IPv6 Access**. This is required until the feature is completely rolled out in the Azure portal.
+
 
 ## Create an application gateway
 
@@ -103,14 +103,14 @@ Create the application gateway using the tabs on the **Create application gatewa
 1. On the **Frontends** tab, verify **Frontend IP address type** is set to **Public**.
 
    > [!IMPORTANT]
-   > For the Application Gateway v2 SKU, there must be a **Public** frontend IP configuration. A private IPv6 frontend IP configuration (Only ILB mode) is currently not supported for the IPv6 Application Gateway preview. 
+   > For the Application Gateway v2 SKU, there must be a **Public** frontend IP configuration. A private IPv6 frontend IP configuration (Only ILB mode) is currently not supported for the IPv6 Application Gateway. 
 
 2. Select **Add new** for the **Public IP address**, enter a name for the public IP address, and select **OK**. For example, **myAGPublicIPAddress**. 
 
      ![A screenshot of create new application gateway: frontends.](./media/ipv6-application-gateway-portal/ipv6-frontends.png)
 
     > [!NOTE]
-    > IPv6 Application Gateway (preview) supports up to 4 frontend IP addresses: two IPv4 addresses (Public and Private) and two IPv6 addresses (Public and Private)
+    > IPv6 Application Gateway supports up to 4 frontend IP addresses: two IPv4 addresses (Public and Private) and two IPv6 addresses (Public and Private)
 
 
 3. Select **Next: Backends**.