Post #3287714

@drwho@masto.hackers.town @zwol@masto.hackers.town @reykjalin@social.treehouse.systems @b0rk@social.jvns.ca Vector search is as good as the vector representation you're using, that's the bit doing the magic. Something like HNSW makes it viable at scale, but that's just a vector index. It's the vector transformation that matters. It's conceptually much older than the models we're using today. It was even fashionable for classic keyword based search as well (where you translate each term to a 1 bit index and do binary cosine similariy = bitwise AND + popcnt).