supervc-stack/VectorChord
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 246 days ago, with 11 contributors on GitHub.
Gained 24% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a PostgreSQL extension for scalable, high-performance, and disk-efficient vector similarity search.
- Offers significantly higher storage efficiency and faster query and index build speeds compared to pgvector and pgvecto.rs.
- Use for hosting and querying hundreds of millions of high-dimensional vectors cost-effectively on moderate hardware.
- Use for integrating advanced vector search capabilities seamlessly into existing PostgreSQL databases without manual tuning.
- Use for building large-scale AI and LLM applications requiring fast, accurate similarity search with support for very high-dimensional vectors.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
Effortlessly host 100 million 768-dimensional vectors (250GB+) on an AWS i4i.xlarge instance ($250/month), featuring 4 vCPUs and 32GB of RAM with VectorChord.
VectorChord (vchord) is a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search.
With VectorChord, you can store 400,000 vectors for just $1, enabling significant savings: 6x more vectors compared to Pinecone's optimized storage and 26x more than pgvector/pgvecto.rs for the same price^1.
VectorChord introduces remarkable enhancements over pgvecto.rs and pgvector:
⚡ Enhanced Performance: Delivering optimized operations with up to 5x faster queries, 16x higher insert throughput, and 16x quicker^1 index building compared to pgvector's HNSW implementation.
💰 Affordable Vector Search: Query 100M 768-dimensional vectors using just 32GB of memory, achieving 35ms P50 latency with top10 recall@95%, helping you keep infrastructure costs down while maintaining high search quality.
🔌 Seamless Integration: Fully compatible with pgvector data types and syntax while providing optimal defaults out of the box - no manual parameter tuning needed. Just drop in VectorChord for enhanced performance.
🔧 Accelerated Index Build: Leverage IVF to build indexes externally (e.g., on GPU) for faster KMeans clustering, combined with RaBitQ^2 compression to efficiently store vectors while maintaining search quality through autonomous reranking.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
73+2
Open issues
17+0
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| supervc-stack/VectorChord | 1.8K | — | 18 | 246 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
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