Twenty-nine thousand toys, one query away.

A vision-language model tags every product. Those tags are clustered into 4,609 canonical labels. A 64-dimensional autoencoder re-ranks what the text filter catches. The result — a 4.45× lift over the naïve baseline — is shown live for eight held-out queries below.