PluralSight – Optimize Vector Search with Indexes in SQL Server 2025 – 2026
English | Tutorial | Size: 582.67 MB
Master vector search optimization in SQL Server 2025. This course will teach you how to design schemas, apply indexes, and tune queries to build fast, scalable AI-powered applications.
What you’ll learn
Vector search performance is critical to AI/ML applications, but SQL Server vector optimization remains poorly understood. In this course, Optimize Vector Search with Indexes in SQL Server 2025, you’ll gain the ability to design, implement, and maintain high-performance vector search workloads. First, you’ll explore vector search fundamentals and common performance pitfalls. Next, you’ll design efficient schemas with proper indexing foundations. Then, you’ll discover how to choose and implement vector indexes, brute-force vs. HNSW, and tune similarity queries for predictable latency. Finally, you’ll learn how to monitor vector search as data grows, adjust strategies for evolving workloads, and plan capacity for production environments. When you’re finished with this course, you’ll have the skills and knowledge of vector search optimization needed to confidently build scalable, maintainable AI/ML applications on SQL Server 2025.
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