from the official repository or try the live demo at demo.ultrasearch-1.5.io .
The most common complaint about fast search engines is that they return fast but wrong answers. implements a continuous learning feedback loop. Every time a user clicks on a result (or skips it), the engine adjusts its internal weighting in real-time. Unlike machine learning models that require batch retraining, this is instantaneous. The more you use UltraSearch-1.5 , the smarter it gets—per user, per team, and per domain.
