Because that requires retraining the model every time you take new notes. And this way you also still have the raw notes as similarity matches from the vector d

Because that requires retraining the model every time you take new notes. And this way you also still have the raw notes as similarity matches from the vector db, rather than them "disappearing" into the LLM model.