Description
GPU-backed data-science workflows can use RAFT routines from Python for vector search, clustering, and numerical primitives. It is useful for notebooks, machine-learning pipelines, and analytics systems built in Python.
This package provides Python bindings, not a standalone data application. Results depend on GPU drivers, input data, algorithm choices, and validation by the surrounding workflow.