Comment by deadbabe

I just did the same thing but instead of vector space I used full text search with sufficiently tokenized text and searched for possible existing keyword matches before assigning the label, and basically got the same results or better than the article at a fraction of the cost (no need to vectorize).

It’s fairly obvious tbh, an agent needs a way to search, not just expect it to produce the same labels that magically match prior results. Have we been so blinded we’ve forgotten this kind of stuff?