I took a completely different path to visualizing embedding vectors’ physical layout [1] - mainly to explain how the data structures, data volumes and compariso

I took a completely different path to visualizing embedding vectors’ physical layout [1] - mainly to explain how the data structures, data volumes and comparison would radically differ, compared to your regular btree index searches. I made sure to mention that you can’t make any conclusions based on just human eyeballing of these vector heatmaps, but the database people I’ve demoed this to, seem to have reached some a-ha moments about understanding how radically different a vector search is compared to the usual database index lookup work: [1] https://tanelpoder.com/posts/comparing-vectors-of-the-same-rotated-image/ https://tanelpoder.com/posts/comparing-vectors-of-the-same-r...