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Azure Database for MySQL Integrations: Azure AI Search

This video shows how to build intelligent MySQL applications with semantic search and generative AI response using Azure Open AI and Azure Database for MySQL with Azure AI search. As an example, we’ll use a Magento ecommerce app designed to sell jackets, and then build a “Product Recommender CoPilot” chat application that: Recognizes the intent of a user’s natural language queries. Generates custom responses to recommend suitable products using the product details and reviews data stored in Azure Database for MySQL. ► Link References Check out https://techcommunity.microsoft.com/b... Join the community for Azure Database for MySQL at https://aka.ms/mysql-contributors Before getting started, you need to ensure that the following prerequisites are in place. An Azure account with an active subscription. If you don't have one, create one for free here: https://azure.microsoft.com/en-in/pri... An Azure AI Search resource. If you don’t have one, you can create one via the Azure portal or the Azure CLI, as explained in the article here: https://learn.microsoft.com/en-us/azu... An Azure Open AI Services resource. If you don’t have one, you can create one via the Azure portal or the Azure CLI, as explained in the article here: https://learn.microsoft.com/en-us/azu... A MySQL database (in Azure Database for MySQL or any database provider) populated with product and reviews data obtained from your ecommerce application like Magento. To create an Azure Database for MySQL server, follow the instructions in the article here: https://learn.microsoft.com/en-us/azu... If you need some sample product and reviews data to try out this example, refer “Upload data to MySQL DB” in the Jupyter Notebook azure-mysql/Azure_MySQL_AI_Search_Sample at master Azure/azure-mysql https://github.com/Azure/azure-mysql/...