Vector Database

A vector database is a specialized data store optimized for indexing and querying high-dimensional embedding vectors at scale. It enables fast similarity search using metrics such as cosine distance. For AI and marketing teams, vector databases are core infrastructure for retrieval-augmented generation, content recommendation, and personalization, allowing Ai Messages to reference the most relevant documents, FAQs, or campaign assets in real time. A vector database is a storage and query system optimized for high-dimensional embedding vectors rather than traditional rows and columns. It supports efficient similarity search using metrics such as cosine or dot-product distance. For AI messaging architectures, vector databases are core infrastructure for retrieval-augmented generation, content discovery, and personalization at scale.