Excelent breakdown of the hidden costs teams miss when they prototype at 10k vectors and deploy at 10M. The hybrid search point is spot-on bc people tratthe embedding model like magic and forget exact match still matters for IDs and structured data. I dunno why more docs don't lead with memory pressure first, since that's what usually blows up production before filtering even becomes the bottleneck.
Excelent breakdown of the hidden costs teams miss when they prototype at 10k vectors and deploy at 10M. The hybrid search point is spot-on bc people tratthe embedding model like magic and forget exact match still matters for IDs and structured data. I dunno why more docs don't lead with memory pressure first, since that's what usually blows up production before filtering even becomes the bottleneck.
Thanks for reading! Yeah the memory discussion is a glaring factor to front load.