Putting the Pieces Together
Each lesson in this chapter made one choice and measured it on its own. A real search system makes all of them at once. Do they still help when they are stacked? Does one undo another?
This lesson builds one search system, one choice at a time, and measures what each step adds and what it costs.
Think of it like cooking. Each spice may taste good on its own, but in one dish two of them can clash, or one can hide the other. The only way to know is to add them one at a time and taste after each. Here, "tasting" means asking the same 470 questions after every step and counting how often the right lesson comes back.
The page above is the chapter's map. Lessons 1 to 5 explained what tokens and are and how to check that a model really reads your text. Lessons 6 to 11 each made one practical choice about how to store and search embeddings. This lesson takes four of those choices, from lessons 6, 9, 10 and 11, and stacks them.