As AI-powered applications become mainstream, databases are evolving beyond traditional relational workloads. SQL Server 2025 introduces powerful vector architecture capabilities that enable organizations to build semantic search, Retrieval-Augmented Generation (RAG), similarity matching, and AI-driven applications directly inside the database platform.

In this demo-driven session, attendees will explore how SQL Server 2025 handles vector embeddings, vector indexing, similarity search, and AI-integrated query processing. The session will walk through the end-to-end architecture of storing embeddings, creating vector indexes, performing semantic searches, and integrating AI models with SQL workloads.

Through live demonstrations, participants will learn how SQL Server 2025 bridges the gap between traditional structured data and modern AI workloads while maintaining enterprise-grade security, governance, and scalability.

Whether you are a DBA, data engineer, architect, or AI developer, this session provides practical guidance for designing next-generation intelligent data platforms using SQL Server 2025.