Pgvectorscale: Cost-Efficient Scaling for High Volume Vector Workloads
published on 2024/06/12
Pgvectorscale is a PostgreSQL extension that builds on pgvector for more performance and scale. pgvectorscale enables developers to build more scalable AI applications with higher-performance embedding search and cost-efficient storage.
The initial release includes two key innovations: (1) StreamingDiskANN, a high-performance, cost-efficient vector search index for pgvector data inspired by research at Microsoft, and (2) Statistical Binary Quantization (SBQ), developed by Timescale’s own researchers to improve upon standard binary quantization techniques.
This is fantastic.