From Keywords to Meaning: Vector Databases Transform How AI Understands Intent

Vector Databases shift data retrieval from keyword matching to semantic understanding, enabling systems like YouTube, Netflix, and ChatGPT to grasp true user intent. By encoding information as high-dimensional vectors, they capture meaning rather than just words—essential infrastructure for modern AI recommendation, search, and language understanding. This fundamental change redefines how applications deliver personalized, contextually relevant results.