cuVS
cuVS is an open-source library from RAPIDS for fast, GPU-accelerated vector search, useful for building high-performance vector databases.
About this tool
cuVS
Source: GitHub - rapidsai/cuvs
Category: Open-source
Tags: open-source, gpu-acceleration, vector-search, high-performance
Description
cuVS is an open-source library from RAPIDS for fast, GPU-accelerated vector search and clustering, designed to simplify and accelerate vector similarity search and clustering tasks using state-of-the-art algorithms on NVIDIA GPUs. It is derived from the RAPIDS RAFT library and will become its primary home for approximate nearest neighbors (ANN) and clustering algorithms in late 2024.
Features
- GPU-accelerated vector search: High-performance implementations of vector similarity search algorithms on NVIDIA GPUs.
- Approximate Nearest Neighbor (ANN) algorithms: State-of-the-art ANN algorithms for scalable and efficient similarity search in high-dimensional spaces.
- Clustering algorithms: Algorithms for clustering, including support for methods like K-means and integration with algorithms used in t-SNE, UMAP, and HDBSCAN.
- Integration-ready: Can be used directly or integrated into databases and other libraries for fast vector search and clustering.
- Modern CUDA support: Built to leverage the latest NVIDIA architectures and CUDA versions, ensuring optimal performance and scalability.
- Derived from RAPIDS RAFT: Contains the most up-to-date ANN and clustering algorithms migrated from the RAFT library.
- Enables graph construction: Facilitates fast construction of nearest neighbor graphs, which can be used for further graph algorithms and analyses.
- Open-source and actively maintained: The library is open-source and will continue to receive updates and performance improvements as new hardware and CUDA versions are released.
- Multi-language support: Codebase includes support for Python, C++, Java, Go, and Rust bindings or interfaces.
- Documentation and examples: Includes documentation, examples, and notebooks to help users get started.
Pricing
cuVS is open-source and free to use under its license.
License
cuVS is released under an open-source license (see the repository for details).
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