Posts by Sujin Philip

Accelerating Vector Search: hipVS and hipRAFT on AMD

In this blog, you’ll get an introductory look at hipVS, AMD’s GPU-accelerated vector search library, and its relationship to hipRAFT, a foundational library used by hipVS and other ROCmDS projects. Using an interactive Jupyter notebook, you’ll explore four major vector search methods available in hipVS: Brute-Force KNN, IVF-Flat, IVF-PQ, and CAGRA—each illustrating different trade-offs in accuracy, performance, and memory. You’ll see how to build and query vector search indexes using the hipVS API for applications such as semantic search, recommendation systems, and RAG pipelines. Since the API is compatible with NVIDIA’s cuVS, migrating workflows to AMD hardware is seamless and requires minimal changes.

Read more ...