Comparison
cuvs vs pgvecto.rs
Verdict
Pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering; pick pgvecto.rs if pgVector.rs is a Rust-based extension for PostgreSQL that introduces scalable vector search capabilities to facilitate efficient nearest-neighbor searches. It supports dimensions up to 65535 and multiple distance metrics.
Markdown twin · cuvs alternatives · pgvecto.rs alternatives
GraphCanon updated today
Trust & integrity
| Signal | cuvs | pgvecto.rs |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (499d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- cuvs
- A library for vector search and clustering on the GPU
- pgvecto.rs
- Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Stars
- cuvs
- 810
- pgvecto.rs
- 2.2k
Forks
- cuvs
- 210
- pgvecto.rs
- 84
Open issues
- cuvs
- 645
- pgvecto.rs
- 76
Language
- cuvs
- Cuda
- pgvecto.rs
- Rust
Adopt for
- cuvs
- cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
- pgvecto.rs
- PgVector.rs is a Rust-based extension for PostgreSQL that introduces scalable vector search capabilities to facilitate efficient nearest-neighbor searches. It supports dimensions up to 65535 and multiple distance metrics
Persona
- cuvs
- -
- pgvecto.rs
- -
Runtime
- cuvs
- -
- pgvecto.rs
- -
License
- cuvs
- Apache-2.0
- pgvecto.rs
- Apache-2.0
Last pushed
- cuvs
- Jul 11, 2026
- pgvecto.rs
- Feb 26, 2025
Categories
- cuvs
- Vector Databases
- pgvecto.rs
- LLM Frameworks, Vector Databases
Trust and health
Maintenance
- cuvs
- Very active (96%)
- pgvecto.rs
- Dormant (18%)
Days since push
- cuvs
- 0d
- pgvecto.rs
- 499d
Open issues (now)
- cuvs
- 645
- pgvecto.rs
- 76
Full report
- cuvs
- Trust report
- pgvecto.rs
- Trust report
Choose cuvs if…
- cuvs is primarily Cuda; pgvecto.rs is Rust.
- Tags unique to cuvs: anns, clustering, cuda, gpu.
- cuvs ships Docker support for self-hosted deployment.
- - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
When NOT to use cuvs
- - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains.
- - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems.
Choose pgvecto.rs if…
- pgvecto.rs is primarily Rust; cuvs is Cuda.
- Pricing: $0 Free - Basic usage of pgvecto.rs is free under the Apache-2.0 license; additional paid tiers for enterprise features may vary based on PostgreSQL hosting costs and setup services (if required)..
- Requirements: Min 1 GB RAM; Requires Docker.
- Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest.
- Also covers LLM Frameworks.
- When requiring integration with the PostgreSQL database, pgvecto.rs offers a seamless solution without the need for separate vector databases.
When NOT to use pgvecto.rs
- Avoid using pgvecto.rs if your project does not leverage the PostgreSQL ecosystem; switching database systems would be more cost-effective than integrating with PostgreSQL just for vector search.
- It might not be suitable when requiring ultra-specialized vector operations, as dedicated vector databases may offer more tailored functionalities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NVIDIA/cuvs) · observed Jul 11, 2026
- GitHub forks (NVIDIA/cuvs) · observed Jul 11, 2026
- Last push (NVIDIA/cuvs) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/pgvecto.rs) · observed Jul 11, 2026
- GitHub forks (tensorchord/pgvecto.rs) · observed Jul 11, 2026
- Last push (tensorchord/pgvecto.rs) · observed Feb 26, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: cuvs 810 · pgvecto.rs 2.2k (synced Jul 11, 2026).
Common questions
- What is the difference between cuvs and pgvecto.rs?
- cuvs: A library for vector search and clustering on the GPU. pgvecto.rs: Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.. See the comparison table for live GitHub stats and shared categories.
- When should I choose cuvs over pgvecto.rs?
- Choose cuvs over pgvecto.rs when cuvs is primarily Cuda; pgvecto.rs is Rust; Tags unique to cuvs: anns, clustering, cuda, gpu; cuvs ships Docker support for self-hosted deployment; - When you need high-performance vector operations leveraging the parallel processing power of GPUs, specifically with CUDA.
- When should I choose pgvecto.rs over cuvs?
- Choose pgvecto.rs over cuvs when pgvecto.rs is primarily Rust; cuvs is Cuda; Pricing: $0 Free - Basic usage of pgvecto.rs is free under the Apache-2.0 license; additional paid tiers for enterprise features may vary based on PostgreSQL hosting costs and setup services (if required).; Requirements: Min 1 GB RAM; Requires Docker; Tags unique to pgvecto.rs: chatgpt, faiss, gpt, hacktoberfest; Also covers LLM Frameworks; When requiring integration with the PostgreSQL database, pgvecto.rs offers a seamless solution without the need for separate vector databases.
- When should I avoid cuvs?
- - For environments where GPU resources are limited or unavailable because cuVS heavily relies on CUDA's capabilities for performance gains. - When you prioritize portability across different hardware, as cuVS being tied to CUDA means it may not be optimal on non-NVIDIA GPUs or CPU-only systems.
- When should I avoid pgvecto.rs?
- Avoid using pgvecto.rs if your project does not leverage the PostgreSQL ecosystem; switching database systems would be more cost-effective than integrating with PostgreSQL just for vector search. It might not be suitable when requiring ultra-specialized vector operations, as dedicated vector databases may offer more tailored functionalities.
- Is cuvs or pgvecto.rs more popular on GitHub?
- pgvecto.rs has more GitHub stars (2,177 vs 810). Stars measure visibility, not whether either tool fits your constraints.
- Are cuvs and pgvecto.rs open source?
- Yes - both are open-source projects on GitHub (cuvs: Apache-2.0, pgvecto.rs: Apache-2.0).
- Where can I find alternatives to cuvs or pgvecto.rs?
- GraphCanon lists graph-backed alternatives at cuvs alternatives and pgvecto.rs alternatives (cuvs markdown twin, pgvecto.rs markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, cuvs or pgvecto.rs?
- cuvs: Very active. pgvecto.rs: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for cuvs and pgvecto.rs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cuvs trust report; pgvecto.rs trust report.