Embedding — Vector Embedding
Definition: A numerical vector that captures the meaning of a piece of text, image, or other input. Embeddings are how machines compare "similar" — and the foundation of search, recommendations, and RAG.
Example
Indexing our help center as embeddings turned a frustrating keyword search into a chatbot that answers in one shot.
When you'll hear it
Embedding shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to vector embedding — and they expect the room to already know what that means.
FAQs
What does Embedding stand for?
Embedding stands for Vector Embedding.
What does Embedding mean in AI and machine-learning?
A numerical vector that captures the meaning of a piece of text, image, or other input. Embeddings are how machines compare "similar" — and the foundation of search, recommendations, and RAG.
Where will I hear Embedding used at work?
Embedding comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for vector embedding, so people assume you already know the term.