PlanetScale is bringing vector search and storage to MySQL

This post announces the upcoming addition of vector storage and search capabilities to PlanetScale's MySQL offering. It explains the concept of vectors and their application in machine learning through embeddings. The technical details highlight the implementation of the Hierarchical Navigable Small World (HNSW) algorithm for efficient vector similarity search and the introduction of a first-class vector data type within MySQL. The post also mentions that PlanetScale's existing MySQL fork will be updated to include these features, and packages will be available for local development.