Approximate Vector Search with KMeans and Azure SQL | Data Exposed
Published Apr 25 2024 10:00 AM 1,285 Views
Microsoft

In this episode, we'll see how to calculate KMeans clusters for vector data which will then be used to perform an Approximate Similarity Search. We'll offload resource intensive processing to calculate KMeans using SciKit-Learn to a container and then do cell probing in pure T-SQL.

 

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Resources:

Intelligent applications with Azure SQL Database: https://aka.ms/sqlai

Azure SQL Devs’ Corner: https://devblogs.microsoft.com/azure-sql/

Vector Search Optimization via KMeans, Voronoi Cells and Inverted File Index (aka “Cell-Probing”): https://devblogs.microsoft.com/azure-sql/vector-search-optimization-via-kmeans-voronoi-cells-and-inv...

 

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‎Apr 25 2024 10:00 AM
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