HyperspaceDB v3.1.0: We built an opesource Spatial AI Engine that uses 50x less RAM than Milvus/Chroma via Matryoshka Cascades and Lorentz Geometry. [R]

Hey everyone! 👋 If you’re building RAG or autonomous AI agents, you’ve probably hit the "Vector DB Wall": flat Euclidean vectors suck at modeling complex hierarchical reasoning, and loading millions of 1536D vectors + JSON metadata into memory causes massive RAM bloat and OOM crashes. We spent the last few months solving this from the ground up. Today, we are releasing HyperspaceDB v3.1.0 , transitioning from a standard vector index to a full Spatial AI Engine . Here is what’s under the hood: 1. The RAM Die