cuVS is a library for vector similarity search and clustering on GPUs, part of the RAPIDS ecosystem. It implements state-of-the-art algorithms for approximate nearest neighbors (ANN) and clustering, targeting use cases in information retrieval, machine learning, and semantic search. The library can be used directly by applications or integrated into databases and other libraries to accelerate vector operations.