Vector Database

A vector database is a specialized database system that stores high-dimensional vectors (embeddings) and enables efficient similarity searches. It forms the technological foundation for modern AI applications such as semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG). In a marketing context, vector databases enable semantic search across content libraries, personalized product recommendations based on user behavior, and the creation of intelligent chatbots that can access company-specific knowledge.