You type a query into a box. Three milliseconds later the thing you wanted is sitting at the top of the results, and it feels like the machine read your mind.
It did not. Your words got torn into pieces, weighed against billions of other queries, matched against an inverted index, scored by algorithms juggling dozens of relevance signals, and reassembled into a ranked list, all before you finished blinking. The magic is a very fast, very elaborate act of misdirection, and we have spent thirty years getting better at the trick. It is genuinely delightful once you see how the trick works, and by the end of this post you will.
Now large language models and semantic search have walked on stage, and everyone has decided the trick is obsolete. Most people have this backwards. Before you can talk sensibly about where search is going, you have to be honest about what search already is.
I have built search engines for two decades: large-scale comparison shopping sites, then Amazon CloudSearch fifteen years ago, and the long road from there into Amazon OpenSearch Service. I have watched several revolutions arrive. This one is real. The reaction to it is mostly confused. So let me walk you through what search actually does, why the old parts are not going anywhere, and what genuinely changes when the thing typing the query stops being human.
