Embedding models and similarity metrics

An embedding model maps text into a dense vector space where semantic similarity corresponds to geometric proximity. The choice of model determines what "similar" means: a general purpose model clusters by broad topic, while a fine tuned domain model distinguishes subtly different technical statements.