Understanding How Modern Systems Interpret User Intent Modern platforms like YouTube and Netflix no longer rely solely on traditional query-based systems. Instead, they leverage semantic understanding powered by Vector Databases to deliver highly personalized experiences. A simple observation illustrates this: Morning → religious or calm audio content Midday → technical podcasts Evening → documentaries These patterns are not matched by keywords — they are inferred from behavioral and semantic similarity . The Limitation of Traditional Databases Relational and NoSQL databases such as MySQL and MongoDB operate primarily on exact matching or indexed queries .…