[grahamj]

I'm just on the edge of understanding this but if I'm visualizing this right you're talking about a point source at the center of a sphere and a bitmap indicating where all the vectors intersect the surface. But that would mean the lengths would all be the same.

Isn't it the lengths/distances to neighbors that is the main information being stored in a vector db? Or is it just that what you're talking about only concerns the angles so the lengths are not part of the discussion?

I'm a dev but still have a lot to learn about ML :)

[kridsdale3]

My understanding is that yes, it actually is normalized to have the lengths all be the same, and thus the angle from (hyperdimensional) 0,0,0,(...n) is all that matters. The "distance between two embeddings" is able to simply to cosign of the two angles.