PlanetScale's vector search and storage support is now Generally Available (GA), offering improved query performance, memory efficiency, and robustness compared to its open beta period. Vectors are treated as a first-class data type in MySQL, allowing for normal relational operations such as joins, where, and select statements with vector indexes. The feature also supports advanced use cases like Euclidean distance ranking, product quantization, and larger-than-RAM indexes using the SPANN (Space-Partitioned Approximate Nearest Neighbors) index design. To get started, users can enable vectors in their database branches by following the provided examples and documentation, which includes a YouTube video for learning more about vector embeddings.