An embedding is a numeric representation of text that lets a system compare meaning, not just matching words.
Embeddings let a system find records that are similar in meaning even when the wording is different, matching a customer inquiry about a leaking pipe to a past job about a burst pipe, for instance. They are the mechanism behind most retrieval and search inside AI systems.