SingleStoreDB allows developers to solve AI problems, including face matching and product photo matching. The example demonstrates how to use the dot_product function to find a matching image from 7000 records in just three milliseconds. To do this, users need to sign up for a free trial account, create a workspace and database, import necessary libraries into a Python kernel or Jupyter notebook, create a connection string, create a table named "people" in the database, import a sample dataset, run an image matching algorithm using two lines of SQL, and optionally use a visualizer to see the results. The example uses Adam Sandler as a test subject and follows instructions from SingleStoreLab's github repository for more information.