Technical GlossaryNatural Language Processing

Sentence Embeddings

An embedding approach focused on producing semantic representations at the sentence or short-text level.

Sentence embedding methods aim to represent the meaning of an entire sentence, rather than individual words, as a dense vector. They are highly valuable for semantic similarity, retrieval, clustering, classification, and recommendation systems. In particular, the sentence-transformer family has established strong practical standards in this area. Sentence-level representation is one of the core building blocks of modern semantic search systems.