This article explains how to use vector embeddings to quantify the similarity between SQL queries. It covers techniques for generating embeddings, storing queries, and analyzing their relationships through clustering and distance measurements. The approach enhances understanding of user behavior and query efficiency in data lakes.

The stochastic extension for DuckDB enhances SQL capabilities by adding a range of statistical distribution functions for advanced statistical analysis, probability calculations, and random sampling. Users can install the extension to compute various statistical properties, generate random samples, and perform complex analyses directly within their SQL queries. The extension supports numerous continuous and discrete distributions, making it a valuable tool for data scientists and statisticians.