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 Server 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.

SQL Server 2025 brings AI directly into the database with native vector support and seamless connections to external models. In this session, you’ll see how to chunk and enrich your data, generate embeddings, perform vector searches, and build Retrieval-Augmented Generation (RAG) workflows—all with T-SQL. Learn how to unlock AI-powered applications while keeping your data securely under your control.