I’ve played with it already. I don’t think this is the use case. I think Jev’s use case is fast, cheap and somewhat easy classification. It’s not trainable in the way you would want here. Even though it’s fast it wont be faster than pgs query optimizer.
replyAt least as I understand things.
How did you plan to use Jev for query optimization?
I am still struggling to understand a use-case for Jev. Isn't what was explained in this article a classification problem? I.e. find and aggregate data?
replyIt’s classifying faster and cheaper. A lot of immediate ideas are better solved by pre-classifying + embedding, but their doom example or the wikipedia runs are one where you can’t preclassify.
replyThe number of options has to be small and bounded. The query planning is more of a search/optimization problem than a classification problem since the number of options increases wildly based on query size.
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