Re:Building AI Memory at 10M+ Nodes: Architecture, Failures,...
by Manik_agg on Tuesday December 30, 2025 @10:12AM
(#46434062)
Author here. We've been building CORE (open source) for the past year. Happy to answer questions about the architecture, reification approach, or what broke at scale.
Re:Building AI Memory at 10M+ Nodes: Architecture, Failures,...
by emschwartz on Tuesday December 30, 2025 @12:52PM
(#46435949)
How did you decide on pgvector versus a dedicated vector database? I’m curious because it didn’t sound like your architecture included Postgres before (though maybe I’m wrong about that).
Re:Building AI Memory at 10M+ Nodes: Architecture, Failures,...
by Manik_agg on Wednesday December 31, 2025 @12:27AM
(#46441644)
Hey we already had PostgreSQL so no new infrastructure to manage, it was easy way to see if vector database change has any value.
It also has good enough performance - handles 10M vectors with HNSW indexes adequately
open source - leverages existing infrastructure
for future migration. we've created a vector service, easy to swap later if needed