Embeddings

An embedding maps a piece of content — a sentence, an image, a clip — into a vector positioned so that semantic similarity becomes geometric closeness. Once meaning is geometry, you can search, cluster, and recommend with plain distance math.

This is the quiet primitive under most modern AI features. Most “smart” behaviour I build reduces to choosing the right embedding model and then doing honest arithmetic on the vectors it produces.