Engineering Publications
Technical Insights & Architecture Papers
Deep-dives on high-throughput backend architecture, Python & Django performance, real-time Voice AI, and resilient database modeling.
Vector Quantization in pgvector: Scaling to 50M+ Embeddings with Scalar (SQ8) & Product Quantization (PQ)
Storing uncompressed 1536-dimensional embeddings in PostgreSQL explodes RAM requirements and crashes cache hit ratios. Implement Scalar Quantization (SQ) and Product Quantization (PQ) in pgvector 0.7+.