Indeed curious on that stuff.
If possible for Friday, I would certainly love a bit of a conceptual walk through (if no practical examples are available) of how this kind of stuff works “in context”. I find it hard to wrap my head around, in general, but also in specific when it comes to situations where you want to nudge the kind of matching being done (e.g. “find the nearest match but that is short”, “find me an exact match for pitch, and/or return the matched value for compensation”, etc…).
I guess I’m quite used to the entrymatcher paradigm of querying, so it’s hard to conceive how things work in a more ML context, when I’m after similar (but better) results.