Semantic search enables users to ask for “a 3-and-D wing who can guard multiple positions” (as described in The Kings Beat article) and retrieve the correct NBA players, rather than simply a keyword match on “3,” “wing,” or “defense.” By combining MySQL Vector Search, Oracle Cloud’s Generative AI Embeddings, and a real NBA dataset from Kaggle, you can build a powerful natural-language search API that understands the meaning behind a query.As I love sports, I think this would be a great demonstration. In this tutorial, you’ll build: We’ll use the…