As enterprises rush to deploy RAG systems, attack surfaces are evolving rapidly, and security professionals are rightfully racing to keep up. Vector and embedding weaknesses aren’t theoretical risks; ...

The primary goal of cuVS is to simplify the use of GPUs for vector similarity search and clustering. cuVS is built on top of the RAPIDS RAFT library of high performance machine learning primitives.

cuVS internally uses Rapids Memory Manager (RMM) to allow customizing device and host memory allocation patterns. With cuVS enabled, Faiss' GPU resource manager is also configured to use RMM. The ...