On-demand Webcast Abstract
Are you uncertain if SQL Server 2025 Vector Search has useful applications? Concerned that it is just more AI hype?
Then join me in this session, where I’ll break down how Vector Search works, where it fits into the AI landscape, and how you can use it today—on-prem and without changing your core architecture.
We’ll cover:
- The foundations of vector embeddings and similarity search
- How SQL Server implements Vector Search, including indexing and querying
- Code demos and practical use case exploration
You’ll leave armed with the knowledge to look beyond the hype and understand how Vector Search can work for you.
Speaker
Andy Yun is a Field Solutions Architect at Pure Storage, who has been working with SQL Server for over 20 years as both a Database Developer and Administrator. He focuses on performance tuning, with expertise in T-SQL, storage engine internals, and monitoring. Andy strongly believes in passing knowledge onto others, regularly speaking at conferences and user groups, and mentoring industry colleagues. Andy is a former Microsoft MVP, co-founder of the Chicago SQL Association, former co-leader of the Chicago Suburban User Group and Chicago SQL Saturday Organizing Committee.
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