Azure SQL and SQL Server 2025 now support native vector data types and vector search features. In this video, we’ll explore how these features work, and how to use them to implement vector search and build AI powered apps. Vector search lets you query your data to find results with contextual similarity and semantic relationships or connections. This enables powerful use cases like search and recommendation engines, chatting with AI models about your data, and more.
Resource links:
https://github.com/alex-wolf-ps/ai-image-search/tree/azure-sql-vector
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/image-retrieval?tabs=csharp
AI Vision Text and Image base urls:
https://your-endpoint/computervision/retrieval:vectorizeImage?api-version=2024-02-01&model-version=2023-04-15
https://your-endpoint/computervision/retrieval:vectorizeText?api-version=2024-02-01&model-version=2023-04-15
Sample image urls:
https://raw.githubusercontent.com/alex-wolf-ps/ai-image-search/refs/heads/azure-sql-vector/wwwroot/images/cake.jpg
https://raw.githubusercontent.com/alex-wolf-ps/ai-image-search/refs/heads/azure-sql-vector/wwwroot/images/salad-house.jpg
https://raw.githubusercontent.com/alex-wolf-ps/ai-image-search/refs/heads/azure-sql-vector/wwwroot/images/latte.jpg
Timestamps:
00:00 Intro
01:38 Prereqs and feature status
05:54 Essential vector feature concepts
09:05 SQL vector search walkthrough
19:25 Realistic sample app example
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