cuVS: Vector Search and Clustering on the GPU#
Welcome to cuVS, the premier library for GPU-accelerated vector search and clustering! cuVS provides several core building blocks for constructing new algorithms, as well as end-to-end vector search and clustering algorithms for use either standalone or through a growing list of integrations.
There are several benefits to using cuVS and GPUs for vector search, including
Fast index build
Latency critical and high throughput search
Parameter tuning
Cost savings
Interoperability (build on GPU, deploy on CPU)
Multiple language support
Building blocks for composing new or accelerating existing algorithms
Useful Resources#
Example Notebooks: Example notebooks
Code Examples: Self-contained code examples
RAPIDS Community: Get help, contribute, and collaborate.
GitHub repository: Download the cuVS source code.
Issue tracker: Report issues or request features.
Contents#
- Installation
- Getting Started
- Integrations
- cuVS Bench
- API Reference
- Contributing