Originally published at: Optimizing Vector Search for Indexing and Real-Time Retrieval with NVIDIA cuVS | NVIDIA Technical Blog
AI-powered search demands high-performance indexing, low-latency retrieval, and seamless scalability. NVIDIA cuVS brings GPU-accelerated vector search and clustering to developers and data scientists, enabling faster index builds, real-time updates, and efficient large-scale search for applications like retrieval-augmented generation (RAG), recommendation systems, exploratory data analysis, and anomaly detection. The latest cuVS release introduces optimized indexing algorithms,…