Data Science & ML

Embeddings

/ɪmˈbedɪŋz/

Definition

Dense vector representations of data (text, images) that capture semantic meaning, enabling similarity search.

Example in context

"We store document embeddings in a vector database — semantic search finds related articles by cosine similarity."

Related terms

Practice this term

Master Embeddings in context by working through exercises in the Data Science & ML module. You'll see the term used in real engineering scenarios with multiple-choice, fill-in-the-blank, and matching drills.