yea, at our volume which we still consider small as we've been able to figure out a way with llms & embeddings, its still fine. + we onboarded a voice ai company with more than 2 hour calls and thats when it was super hard to solve since there were so many elements to consider.

model drifting is something a lot of folks do face after 5th/6th turn as per my understanding and it usually the median, how did you tackle it if you have yet?

also yea, thats why we went for a per customer taxonomy than a general one, yeilded better results + easier to improve upon.