A Vector Database stores and indexes vector embeddings so AI systems can efficiently retrieve information based on semantic similarity instead of exact keyword matching.
Voice AI platforms use Vector Databases to power Retrieval-Augmented Generation (RAG), semantic search, enterprise knowledge retrieval, conversation memory, and recommendation systems.