incorporate feedback from customers

Author: eric-urban

articles/ai-studio/includes/chat-with-data.md

@@ -10,7 +10,7 @@ ms.date: 5/21/2024
 ms.custom: include, build-2024
 ---
 
-To complete this section, you need a local copy of product data. The [Azure-Samples/aistudio-python-quickstart-sample repository on GitHub](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data) contains sample retail customer and product information that's relevant for this tutorial scenario. Clone the repository or copy the files from [3-product-info](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data/3-product-info). 
+To complete this section, you need a local copy of product data. The [Azure-Samples/rag-data-openai-python-promptflow repository on GitHub](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/) contains sample retail product information that's relevant for this tutorial scenario. Specifically, the `product_info_11.md` file contains product information about the TrailWalker hiking shoes that's relevant for this tutorial example. [Download the example Contoso Trek retail product data in a ZIP file](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/raw/main/tutorial/data.zip) to your local machine.
 
 > [!IMPORTANT]
 > The **Add your data** feature in the Azure AI Studio playground doesn't support using a virtual network or private endpoint on the following resources:
@@ -36,7 +36,7 @@ Follow these steps to add your data in the chat playground to help the assistant
 
 1. Select **Upload** > **Upload files** to browse your local files. 
 
-1. Select the files you want to upload. Select the product information files ([3-product-info](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data/3-product-info)) that you downloaded or created earlier. Add all of the files now. You won't be able to add more files later in the same playground session.
+1. Select the files you want to upload. Select the product information files that you [downloaded](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/raw/main/tutorial/data.zip) or created earlier. Add all of the files now. You won't be able to add more files later in the same playground session. 
 
 1. Select **Upload** to upload the file to your Azure Blob storage account. Then select **Next**.
 

articles/ai-studio/includes/deploy-chat-model.md

@@ -6,15 +6,15 @@ ms.reviewer: eur
 ms.author: eric-urban
 ms.service: azure-ai-studio
 ms.topic: include
-ms.date: 5/21/2024
+ms.date: 8/8/2024
 ms.custom: include, build-2024
 ---
 
 Follow these steps to deploy an Azure OpenAI chat model for your copilot. 
 
 1. Sign in to [Azure AI Studio](https://ai.azure.com) and go to the **Home** page.
 1. Go to your hub by selecting it from the list of hubs via **Home** > **All hubs**. If you don't have a hub, create one. For more information, see [how to create a hub](../how-to/create-azure-ai-resource.md).
-1. From the left pane, select **Deployments** > **+ Create deployment**.
+1. From the left pane, select **Deployments** > **+ Deploy model**.
 
     :::image type="content" source="../media/tutorials/chat/deploy-create.png" alt-text="Screenshot of the deployments page with a button to create a new deployment." lightbox="../media/tutorials/chat/deploy-create.png":::
 

articles/ai-studio/tutorials/deploy-chat-web-app.md

@@ -37,7 +37,7 @@ The steps in this tutorial are:
 
 - An [Azure AI Search service connection](../how-to/connections-add.md#create-a-new-connection) to index the sample product and customer data. 
 
-- You need at least one file to upload that contains example data. To complete this tutorial, use the product information samples from the [Azure-Samples/aistudio-python-quickstart-sample repository on GitHub](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data). Specifically, the [product_info_11.md](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/blob/main/data/3-product-info/product_info_11.md) contains product information about the TrailWalker hiking shoes that's relevant for this tutorial example. You can download the file or copy its contents to a file named `product_info_11.md` on your local computer.
+- You need a local copy of product data. The [Azure-Samples/rag-data-openai-python-promptflow repository on GitHub](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/) contains sample retail product information that's relevant for this tutorial scenario. Specifically, the `product_info_11.md` file contains product information about the TrailWalker hiking shoes that's relevant for this tutorial example. [Download the example Contoso Trek retail product data in a ZIP file](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/raw/main/tutorial/data.zip) to your local machine.
 
 ## Add your data and try the chat model again
 

articles/ai-studio/tutorials/deploy-copilot-ai-studio.md

@@ -36,7 +36,7 @@ The steps in this tutorial are:
 
 - An [Azure AI Search service connection](../how-to/connections-add.md#create-a-new-connection) to index the sample product and customer data. 
 
-- You need a local copy of product and customer data. The [Azure-Samples/aistudio-python-quickstart-sample repository on GitHub](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data) contains sample retail customer and product information that's relevant for this tutorial scenario. Clone the repository or copy the files from [1-customer-info](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data/1-customer-info) and [3-product-info](https://github.com/Azure-Samples/aistudio-python-quickstart-sample/tree/main/data/3-product-info). 
+- You need a local copy of product data. The [Azure-Samples/rag-data-openai-python-promptflow repository on GitHub](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/) contains sample retail product information that's relevant for this tutorial scenario. Specifically, the `product_info_11.md` file contains product information about the TrailWalker hiking shoes that's relevant for this tutorial example. [Download the example Contoso Trek retail product data in a ZIP file](https://github.com/Azure-Samples/rag-data-openai-python-promptflow/raw/main/tutorial/data.zip) to your local machine.
 
 ## Add your data and try the chat model again