Build Agentic RAG solutions with Azure SQL OpenAI & Data API builder | DEM563

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Join us for an exciting demonstration on how to transform raw data in a database into a searchable format using Natural Language Processing (NLP). You will learn how to leverage Retrieval-Augmented Generation (RAG), vectors, NL2SQL, and agents, all within T-SQL, to create a powerful and scalable solution. Don't miss this opportunity to see how you can build a full-stack end-to-end solution in just 15 minutes! To learn more, please check out these resources: * https://aka.ms/build25/plan/ai_agents_apps__data 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Davide Mauri 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com DEM563 | English (US) | Data & Analytics #MSBuild Chapters: 0:00 - Introduction and Session Overview 00:00:07 - Demonstration on Building GNTKI Search in Azure SQL 00:04:22 - Decision Making in AI Query Execution 00:05:20 - Alternative Methods for Implementing AI Solutions in Databases 00:07:51 - Options for Using Different Technologies and Platforms 00:10:10 - Evaluation of Database Response and Query Accuracy 00:11:03 - Introduction to Advanced Code Sample Query of 2025 00:14:38 - Setup and initialization of configuration file 00:15:00 - Connecting to Azure SQL and Swagger setup

Published 2025-05-23 · Watch on YouTube ↗
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