Posts by Kevin Joseph
From Vector Search to Agentic RAG: Building an Enterprise Research Analyst with hipVS
- 15 July 2026
hipVS and hipRAFT were introduced in this earlier blog post, which walked through the core vector search APIs. This post takes the next step: it shows what you can build with hipVS by walking through an Enterprise Research Analyst demo — an end-to-end working agentic RAG (Retrieval-Augmented Generation) system that uses hipVS as its retrieval backbone. This demo combines multi-document ingestion, LLM-powered query decomposition, parallel GPU-accelerated vector search, and cross-document synthesis with source citations, all running on AMD hardware. Along the way, it highlights the specific hipVS and hipRAFT APIs the demo exercises and shares code snippets you can adapt for your own applications.
Accelerating Vector Search: hipVS and hipRAFT on AMD
- 13 November 2025
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.