SQLskills SQL Server 2025 AI: Vector Search Essentials
Issued by
SQLskills
This badge shows attendance of the SQLskills AI Vector Search Essentials course. Attendees learned how to implement native vector search capabilities in SQL Server 2025 for semantic search operations. Topics include embedding generation, vector storage + indexing (using DiskANN), distance + search functions, hybrid search patterns combining vector similarity with traditional SQL filters, and production deployment considerations including external model configuration and maintenance strategies.
- Type Learning
- Level Foundational
- Time Hours
- Cost Paid
Skills
- Configuring External Embedding Models In SQL Server
- Creating SQL Server Vector Indexes Using DiskANN
- Hybrid Search Combining Vector And Traditional SQL Filters
- Implementing Approximate Nearest Neighbor Search In SQL Server
- Microsoft SQL Server Troubleshooting
- SQL Server 2025 AI
- SQL Server 2025 Vector Search
- SQL Server Database Structures
- SQL Server Vector Data Type And Storage
- SQL Server Vector Search Production Deployment
- Understanding Embeddings And Vector Representation
- Understanding Vector Distance Metrics For Semantic Search
- Using VECTOR_DISTANCE For Exact K-NN Search
- Using VECTOR_SEARCH For Approximate Search
Earning Criteria
-
SQLskills SQL Server 2025 AI - Vector Seach Essentials