[viraptor]

I'm not sure why the assumption of "will produce much better results". The fine tuning is not that predictable. Maybe some documents are remembered, maybe not. Maybe the document markers are preserved, maybe they fail. And adding anything new risks destroying existing data and is expensive.

Compare that to the vector + graph search, which is almost free to add to (if you're searching the internet, you're adding N documents per minute, not per days of training), repeatable, not affecting existing data. It would be cool to have a neural search, but how realistic is it without making it extremely fuzzy, forgetting and expensive?