SQL Server 2025 introduces native support for vectors, AI model integration, and RAG workloads—but what does this mean for system design, performance, and scalability? This session takes a critical look at the architectural implications of using SQL Server for GenAI applications. We’ll explore how vector indexes work, how embedding data affects performance, and when SQL Server is (or isn’t) the right tool for the job. Ideal for architects and DBAs looking to make informed decisions in AI-powered data platforms.
This session is for practitioners who want to go beyond the buzzwords and understand what it takes to use SQL Server effectively in AI-powered applications—what works, what’s still experimental, and what to watch out for.