supervc-stack/VectorChord
A PostgreSQL extension that provides scalable vector search for AI applications, using RaBitQ compression to store embeddings cost-effectively at billion-scale.

VectorChord enables high-performance vector similarity search within PostgreSQL, designed as infrastructure for RAG systems and LLM applications. It applies RaBitQ quantization to compress high-dimensional vectors while maintaining search quality, then uses autonomous reranking to improve results. The extension targets billion-scale vector operations with cost efficiency, allowing users to host hundreds of millions of vectors on commodity cloud hardware.