Embeddings

What is an embedding?

An embedding is a list of numbers that represents the meaning of text, letting software find related content even when the words differ. Each piece of text, such as an email, a meeting note or a contract clause, becomes a vector. Texts with similar meaning end up close together, so "the chiller keeps tripping" and "cooling unit failure" land near each other.

Why it matters to a revenue leader

Embeddings are a common way AI tools find the right material in your own records before answering a question. OpenAI's documentation describes the distance between two embeddings as a measure of how related the texts are, and lists uses such as search, clustering, recommendations and classification. A leader does not need the math. Answer quality depends on what was indexed, and if half your account notes live in personal inboxes or old spreadsheets, the AI cannot find them. Ask vendors which of your sources they embed and how often they refresh.

A facility services company embeds five years of work orders and customer emails. A seller preparing a renewal asks for past complaints about response times at one hospital campus. The tool returns notes that mention "slow callback," "tech showed up late" and "missed the PM window," none of which use the words "response time."