SingleStore is a high-performance distributed SQL database and through SingleStore Kai extends its compatibility to MongoDB’s vector search capabilities. By supporting MongoDB’s $vectorSearch operator, SingleStore Kai provides efficient querying and indexing of vector data, such as embeddings used in ML and AI applications. Users can benefit from SingleStore’s optimized data handling and Kai’s vector search capabilities to perform similarity searches across large datasets. In this article, we’ll see an example of how to use SingleStore Kai with vector data.

The notebook file used in this article is available on GitHub.