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.
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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.
Frequently asked
- What is 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.
- Is VectorChord open source?
- Yes — supervc-stack/VectorChord is an open-source project tracked on heatdrop.
- What language is VectorChord written in?
- supervc-stack/VectorChord is primarily written in Rust.
- How popular is VectorChord?
- supervc-stack/VectorChord has 1.7k stars on GitHub.
- Where can I find VectorChord?
- supervc-stack/VectorChord is on GitHub at https://github.com/supervc-stack/VectorChord.