A model-made numerical fingerprint of a piece of text that captures its meaning. Texts about similar things get similar fingerprints, even with no words in common — "MRI results" and "scan findings" land close together.
Why it matters: embeddings are what let AI search by meaning instead of exact keywords. They're the reason RAG can find the right passage even when the user phrases the question completely differently.