similarity spaces

Explore how synthetic query probing makes embedding models truly comparable

Embedding models are rarely interchangeable, yet swapping one for another often feels like a roll of the dice. Synthetic Query Probing tackles this head-on by comparing similarity spaces instead of raw vectors. The results show Titan's scores relate across dimensions, but Titan versus Ada is nonlinear with different ranges. That is a practical insight for setting retrieval thresholds. For a deeper look at how clean data shapes model behavior, our piece on catching AI slop before it skews your model pairs well with this research.