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

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:

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Davide Mauri

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:

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