SetFit is fairly good, and we do help train SetFit like models for the results you get, however, the issue with SetFit is that its latency and cost benefits come at the price of flexibility.

If you want to add a new class, to update an existing one, it requires training a new model. Sometimes this is ok and sometimes it's not. This is why we generally prefer a hybrid approach where some classes are using traditional models (BERT based) while others are determined by the LLM.