Vector Database

A database optimized for storing and searching high-dimensional embeddings (numerical representations of text, images, or audio). AI agents use vector databases to find semantically similar content—e.g., matching a support question to the most relevant KB article even if the exact words differ. Examples include Pinecone, Weaviate, and Chroma.