Embedding models convert words or phrases into numerical vectors that capture their meaning. These models help AI understand context and relationships between words. In voice AI, embeddings allow systems to interpret varied phrases with similar intent—like knowing “book an appointment” and “schedule a visit” mean the same thing.
