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Merge pull request #41 from fimdim/patch-1
Correct broken link in articles/ai-studio/tutorials/deploy-chat-web-app.md
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articles/ai-studio/tutorials/deploy-chat-web-app.md

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@@ -36,7 +36,7 @@ The steps in this tutorial are:
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- An [Azure AI Search service connection](../how-to/connections-add.md#create-a-new-connection) to index the sample product data.
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- 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.
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- 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/refs/heads/main/tutorial/data/product-info.zip) to your local machine.
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- You need to have **Microsoft.Web** resource provider registered in the selected subscription, to be able to deploy to a web app.
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