Earlier quoted context omitted.
I suppose the question then is - if you finetune on your own data (eg internal wiki) does it then retain the near-perfect recall? Could be a simpler setup than RAG for slow-changing documentation, especially for read-heavy cases.
"if you finetune on your own data (eg internal wiki) does it then retain the near-perfect recall" No, that's one of the primary reasons for RAG.
Unless you have some evals showing that the previous results justifying RAG also apply to GPT-4o?