Vector Search retrieves information by comparing vector embeddings and identifying content with the closest semantic meaning to a query rather than relying on exact keyword matches.
Voice AI platforms use Vector Search to retrieve relevant documents, FAQs, support articles, and enterprise knowledge that improve the accuracy of AI-generated responses.