pgvectorscale: Timescale Postgres as AI Vector Database

 The best time-series database; built on PostgreSQL | Timescale

Timescale Vector is PostgreSQL++ for AI applications | Timescale

Timescale Cloud vs. Amazon RDS PostgreSQL: Up to 350x Faster Queries, 44 % Faster Ingest, 95 % Storage Savings for Time-Series Data

timescale/pgvectorscale: A complement to pgvector for high performance, cost efficient vector search on large workloads. @GitHub

pgvectorscale builds on pgvector with higher performance embedding search
and cost-efficient storage for AI applications.

On a benchmark dataset of 50 million Cohere embeddings with 768 dimensions each, PostgreSQL with pgvector and pgvectorscale achieves 28x lower p95 latency and 16x higher query throughput compared to Pinecone's storage optimized (s1) index for approximate nearest neighbor queries at 99% recall, all at 75% less cost when self-hosted on AWS EC2.

Building a Copilot for Git History With pgvector & Timescale