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Comparison

cuvs vs examples

Verdict

Pick cuvs if cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering; pick examples if examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance.

Markdown twin · cuvs alternatives · examples alternatives

GraphCanon updated today

cuvs logo

cuvs

NVIDIA/cuvs

★ 810pushed Jul 11, 2026
vs
examples logo

examples

pinecone-io/examples

★ 3.0kpushed Jul 9, 2026

Trust & integrity

Signalcuvsexamples
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (2d 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
cuvs trust reportexamples trust reportTrust methodology

Tagline

cuvs
A library for vector search and clustering on the GPU
examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Stars

cuvs
810
examples
3.0k

Forks

cuvs
210
examples
1.1k

Open issues

cuvs
645
examples
63

Language

cuvs
Cuda
examples
Jupyter Notebook

Adopt for

cuvs
cuVS is a CUDA-based library for efficient GPU-accelerated vector search and clustering.
examples
Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance.

Persona

cuvs
-
examples
-

Runtime

cuvs
-
examples
-

License

cuvs
Apache-2.0
examples
MIT

Last pushed

cuvs
Jul 11, 2026
examples
Jul 9, 2026

Categories

cuvs
Vector Databases
examples
Vector Databases, Data & Retrieval

Trust and health

Days since push

cuvs
0d
examples
2d

Open issues (now)

cuvs
645
examples
63

Full report

cuvs
Trust report
examples
Trust report

Choose cuvs if…

  • cuvs is primarily Cuda; examples is Jupyter Notebook.
  • License: cuvs is Apache-2.0, examples is MIT.
  • Tags unique to cuvs: clustering, anns, sparse, 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.
GitHubDetails

Choose examples if…

  • examples is primarily Jupyter Notebook; cuvs is Cuda.
  • License: examples is MIT, cuvs is Apache-2.0.
  • Tags unique to examples: vector-database, llm, ai, python.
  • Also covers Data & Retrieval.
  • When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks.

When NOT to use examples

  • Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone.
  • Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab.
GitHubDetails

Explore

cuvs trust report →examples trust report →Vector Databases category →Data & Retrieval category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: cuvs 810 · examples 3.0k (synced Jul 11, 2026).

Common questions

What is the difference between cuvs and examples?
cuvs: A library for vector search and clustering on the GPU. examples: Jupyter Notebooks to help you get hands-on with Pinecone vector databases. See the comparison table for live GitHub stats and shared categories.
When should I choose cuvs over examples?
Choose cuvs over examples when cuvs is primarily Cuda; examples is Jupyter Notebook; License: cuvs is Apache-2.0, examples is MIT; Tags unique to cuvs: clustering, anns, sparse, 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 examples over cuvs?
Choose examples over cuvs when examples is primarily Jupyter Notebook; cuvs is Cuda; License: examples is MIT, cuvs is Apache-2.0; Tags unique to examples: vector-database, llm, ai, python; Also covers Data & Retrieval; When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks.
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 examples?
Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone. Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab.
Is cuvs or examples more popular on GitHub?
examples has more GitHub stars (3,026 vs 810). Stars measure visibility, not whether either tool fits your constraints.
Are cuvs and examples open source?
Yes - both are open-source projects on GitHub (cuvs: Apache-2.0, examples: MIT).
Where can I find alternatives to cuvs or examples?
GraphCanon lists graph-backed alternatives at cuvs alternatives and examples alternatives (cuvs markdown twin, examples 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 examples?
cuvs: Very active. examples: Very active. 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 examples?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: cuvs trust report; examples trust report.