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I think I struggle to see any application of LLMs for my notes that wouldn't, in practice, be just as easily implemented as a search facility.

My main challenge with my notes (that I've been collecting for about 15 years) is remembering to consult them before I google.

I suppose a unified interface to both my notes via LLM and internet search would help, but then I get that with my Apple Notes and the Mac's systemwide search, if I remember to use it.

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It's not the application of LLMs for your notes, it's the application of your notes for an LLM. Like if you're running a custom code-generation LLM, it could refer back to parts of your notes using retrieval aided generation to get some more context on the work you're having it do.

But yes, a good application is probably a ways away. Still, LLM vector embedding make a good search engine pretty easy to implement, especially if you're working with small sets of well curated data where exact keyword matching might not work great.

Like if you search for "happy" you could get your happiest journal entries, even if none of them explicitly mention the word happy.

Interesting. Yes I see, I guess :-) Thanks for the reply.

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