NVIDIA / cuvs
cuVS - a library for vector search and clustering on the GPU
Why this job: works in the areas we cover, but does not say which job it does
What it does
Vector search is an information retrieval method that has been growing in popularity over the past few years, partly because of the rising importance of multimedia embeddings created from unstructured data and the need to perform semantic search on the embeddings to find items which are semantically similar to each other.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 891
- +5 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v26.10.00
- Released 32 days ago
- Built with
- Cuda
- 42% of the code
Is it looked after?
- Contributors
- 27
- Last 90 days
- Issues
- 38% closed
- 601 still open
- Pull requests
- 1,537 merged
- 230 waiting
- Releases
- 21
- 7 in the last year
More: languages, topics and project record
Languages
- Cuda 42%
- C++ 20%
- Java 12%
- Jupyter Notebook 8%
Topics
- anns
- clustering
- cuda
- distance
- gpu
- information-retrieval
- llm
- machine-learning
- nearest-neighbors
- neighborhood-methods
- similarity-search
- sparse
Project record
- JobOther AI tools
- StatusListed
- Commits1,716
- Forks260
- Watching20
- Stars in 28 days+25
- CreatedNov 20, 2023
- First seen by usNov 7, 2026
- CheckedNov 9, 2026