The Database Zoo: Vector Databases and High-Dimensional Search
Vector embeddings have quietly become one of the most important data types in modern systems. Every LLM application, recommendation engine, semantic search feature, image similarity tool, fraud detector, and 'find me things like this' workflow ultimately boils down to the same operation: convert some input into a high-dimensional vector, then search for its nearest neighbours.