Semantic Similarity measures how closely two pieces of text are related in meaning, even if they use different words or sentence structures. It is commonly calculated using vector embeddings.
Voice AI systems use Semantic Similarity to improve knowledge retrieval, intent matching, duplicate detection, recommendation systems, and enterprise search accuracy during conversations.