AI Application Use Cases

Native vector support makes AI-driven application patterns practical without external tooling. Product recommendation systems can use vectors to find products nearest to a user's preference vector. Visual search can use image feature vectors to find visually similar images. E-commerce semantic search can use uploaded photos to find visually similar products instead of relying only on keywords. Text and document similarity can retrieve close matches from a knowledge base for smarter chatbot responses.