PlanetScale has announced the public beta of its vector search and storage feature for MySQL databases. This implementation is based on Microsoft Research's SPANN (Space-Partitioned Approximate Nearest Neighbors) and SPFresh algorithms, which are designed to work well with larger-than-RAM indexes requiring SSD usage. The vector search solution supports pre-filtering and post-filtering, full SQL syntax, and ACID compliance. It is integrated with InnoDB and Vitess for efficient management of vector indexes at terabyte scale. To enable vector support, users can go to their database settings page, click "Beta features," find Vectors, and enroll in the beta program.