Vector Databases & Production Search
You embed a million support tickets into 1,536-dimensional vectors, store them in a Python list, and write a loop that compares each one to the query. It works for the demo. Then a real query lands and your "search" takes nine seconds. That gap between a toy s
8 lessons, each with runnable code in the browser.