Embeddings are why an engine can tell that "lower cart abandonment" and "fewer checkout drop-offs" are about the same thing. Retrieval ranks candidates partly by how close their embeddings are to the query, alongside keyword and quality signals.
For content, the implication is to make each passage clearly about one idea, so its embedding is distinct and easy to match to the right question.