| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 01. Vector search fundamentals and schema design | |||
| 01. Why vector search matters in modern SQL server applications.mp4 | 13.5 MB | ||
| 01. Why vector search matters in modern SQL server applications.srt | 6.9 KB | ||
| 02. Understanding the vector data type and storage options.mp4 | 15.1 MB | ||
| 02. Understanding the vector data type and storage options.srt | 4.9 KB | ||
| 02. Vector indexing strategies and implementation | |||
| 01. Understanding vector index performance tradeoffs.mp4 | 28.3 MB | ||
| 01. Understanding vector index performance tradeoffs.srt | 10.9 KB | ||
| 02. Introduction to DiskANN vector indexes.mp4 | 10.5 MB | ||
| 02. Introduction to DiskANN vector indexes.srt | 8.8 KB | ||
| 03. Creating and configuring vector indexes.mp4 | 24.9 MB | ||
| 03. Creating and configuring vector indexes.srt | 10.6 KB | ||
| 03. Testing, operations, and long-term maintenance | |||
| 01. Measuring index impact and recall.mp4 | 12.8 MB | ||
| 01. Measuring index impact and recall.srt | 4.9 KB | ||
| 02. Monitoring and diagnosing vector search performance.mp4 | 19 MB | ||
| 02. Monitoring and diagnosing vector search performance.srt | 5.3 KB | ||
| 03. Capacity planning and index maintenance.mp4 | 9.7 MB | ||
| 03. Capacity planning and index maintenance.srt | 3.8 KB | ||
| 04. Tuning checklist and course wrap-up.mp4 | 10.9 MB | ||
| 04. Tuning checklist and course wrap-up.srt | 4.9 KB | ||
| 04. Tuning vector similarity queries.mp4 | 22.4 MB | ||
| 04. Tuning vector similarity queries.srt | 9.3 KB | ||
| 05. Avoiding common vector query anti-patterns.mp4 | 18.5 MB | ||
| 05. Avoiding common vector query anti-patterns.srt | 6.4 KB | ||
| 03. Designing tables for vector search workloads.mp4 | 20.8 MB | ||
| 03. Designing tables for vector search workloads.srt | 6.3 KB | ||
| 04. Defining query patterns and use cases.mp4 | 34.4 MB | ||
| 04. Defining query patterns and use cases.srt | 11.8 KB | ||
| 05. Establishing baseline performance metrics.mp4 | 21.4 MB | ||
| 05. Establishing baseline performance metrics.srt | 9.8 KB |
Optimize Vector Search with Indexes in SQL Server 2025
https://WebToolTip.com
Released 3/2026
By Rudi Bruchez
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 19m 40s | Size: 515 MB
Vector search performance is critical to AI/ML applications, but SQL Server vector optimization remains poorly understood.
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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