Learn how to build a sleek, AI-powered semantic search engine that lives inside your existing database. We’ll walk through how to store vector embeddings, run similarity-based queries, and turn ordinary text searches into meaning-aware retrieval with nothing more than standard SQL and a vector extension.
Imagine trying to describe a movie to a friend without naming it. You might say, “it’s that film about an astronaut stranded on another planet who grows potatoes to survive” and, even though you never mentioned the title, your friend instantly knows you’re talking about The Martian.
Humans are great at understanding the meaning behind