Search Relevance measures how well retrieved results match a user's intent, context, and information needs. Higher relevance produces more accurate and useful search experiences.
Voice AI teams continuously optimize Search Relevance through better embeddings, query rewriting, ranking, metadata filtering, and retrieval evaluation to improve customer conversations and AI-generated answers.