Home › Glossary › Embedding
Techniques · beginner

What is Embedding?

A plain-English explanation of Embedding (Embedding) — what it means, why it matters, and how it is used in AI.

Embedding
Embedding
An embedding is a numerical representation of text, images, or other data as a vector — a list of numbers — in a high-dimensional space. Words or phrases with similar meanings end up close together in this space.
"The words "car" and "automobile" would have very similar embeddings because they mean the same thing, even though they share no letters."

Also known as: Word embedding, text embedding, vector embedding

Vector DatabaseRAGToken

Why does Embedding matter?

Embeddings power semantic search, recommendation systems, and the retrieval step in RAG pipelines.

Practice this term

The best way to remember Embedding is to practice unscrambling it. AI Terminology Scrambler uses spaced repetition to help you learn and retain AI vocabulary in just a few minutes a day.

Practice Embedding now →

Related AI terms

Vector DatabaseRAGToken