#semantics

Brouillon de traduction automatique (French) for "Embeddings": Dense numerical vector representations of words, sentences, or other data that capture semantic meaning. Similar concepts have similar embeddings (nearby in vector space), allowing AI systems to measure meaning similarity mathematically rather than relying on exact keyword matches.

“Exemple en brouillon: The search engine uses embeddings to find relevant results even when the query words don't appear in the document.”