In a previous article I already mentioned how vectors can be easily stored in Azure SQL already and how to calculate dot product and cosine distance using just T-SQL. In this article I will show how to improve the performance in vector search by using a technique that has many name but is really based on something very well know already: KMeans Clustering.
