课程: Building AI-Ready Applications with Azure Databases and AI

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Implementing RAG with Azure

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课程: Building AI-Ready Applications with Azure Databases and AI

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Implementing RAG with Azure

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- [Instructor] Microsoft databases combined with Retrieval Augmented Generation patterns are transforming the landscape of modern applications. These technologies enable seamless integration, scalability, and adaptability, ensuring apps run efficiently at any scale By leveraging advanced AI and robust data management, Microsoft is paving the way for innovative solutions that meet the demands of a dynamic data-driven world. Azure databases provide built-in solutions for implementing RAG. Let's walk through the process of setting up RAG pattern using SQL-based vector search within SQL. In this script, we declare and create search vectors for the input text. Then we perform vector search to find the top 50 closest products. Then we aggregate results into a format consumable by an AI model. Then we generate a payload and invoke an external LLM for generating responses. Finally, we extract and display the AI-generated response. Let's look at a practical example. Suppose we have a health…

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