Fixed note

Author: jboback

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

@@ -9,9 +9,6 @@ ms.topic: how-to
 ms.date: 02/09/2024
 ---
 
-> [!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.
-
 # Connect custom question answering with Azure OpenAI on your data 
 
 Custom question answering enables you to create a conversational layer on your data based on sophisticated Natural Language Processing (NLP) capabilities with enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support. Most use cases for custom question answering rely on finding appropriate answers for inputs by integrating it with chat bots, social media applications and speech-enabled desktop applications. 
@@ -77,4 +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/How-To/migrate-to-openai.md

@@ -9,9 +9,6 @@ ms.topic: how-to
 ms.date: 02/09/2024
 ---
 
-> [!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.
-
 # Migrate QnA Maker to Azure OpenAI on your data 
 
 QnA Maker was designed to be a cloud-based Natural Language Processing (NLP) service that allowed users to create a natural conversational layer over their data. This service is being retired, having been replaced by [custom question answering](../../language-service/question-answering/overview.md). AI runtimes however, are evolving due to the development of Large Language Models (LLMs), such as GPT-35-Turbo and GPT-4 offered by [Azure OpenAI](../../openai/overview.md), which can address many chat-based use cases. Use this article to learn how to migrate your existing QnA Maker projects to Azure OpenAI. 

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)]