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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 Read More Microsoft Developer
