Session Abstract

Azure SQL Databases (and SQL Server 2025) introduces powerful AI capabilities that bring intelligence directly into the database engine. With native vector support and seamless connections to external AI models, developers can now build Retrieval-Augmented Generation (RAG) pipelines and natural language interfaces using only T-SQL, while keeping sensitive data under your control. In this session, you’ll learn how to: - Chunk and enrich your data for RAG workflows - Generate and store embeddings in SQL databases with the new VECTOR data type - Perform semantic vector searches to power smarter applications - Call external AI models directly from T-SQL - Ensure trust by keeping data securely within your systems, minimizing exposure to external services By the end, you’ll have the practical knowledge to combine relational data and AI to build next-generation applications. All with the assurance that your data remains under your control.

Christian Peeters

Christian started in 2000 as a software developer. Seven years later he became a Microsoft Certified Trainer and has been teaching other developers ever since. Currently he is a Principal Cloud Architect at Betabit. A software development company specialized in building business critical applications in the cloud.