Embeddings are numerical vectors that capture semantic meaning, enabling similarity search, clustering, and retrieval workflows.

Related AI terms: CLIP and Textual Inversion.

A Vector is a scalable graphic format built from mathematical paths instead of pixels, enabling crisp rendering at any size.