Neural Search uses AI-generated embeddings to retrieve information based on semantic meaning rather than exact keyword matches. It identifies conceptually related content even when different words are used.
Voice AI assistants use Neural Search to retrieve relevant knowledge base articles, policies, manuals, and customer information before generating grounded responses. It significantly improves answer relevance in enterprise AI systems.