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AMD: Efficient Local RAG for Document Intelligence

Nov 20, 2024

AMD, a leader in high-performance computing, partnered with Nexa AI to implement a groundbreaking local Retrieval-Augmented Generation (RAG) system optimized for their latest hardware - the AMD Ryzen AI 7 Pro 360 and Radeon 880M iGPU.

The Challenge

AMD's enterprise customers needed a reliable and efficient solution for AI-powered document interaction that could run entirely on their devices. While cloud-based AI solutions offered powerful capabilities, they presented concerns around data privacy, latency, and connectivity dependencies.

The Solution

We developed a streamlined local RAG system that runs efficiently on AMD hardware. The system enables natural conversations with documents through AI-powered analysis, with sophisticated tool-use capabilities to transform insights into charts and PowerPoint presentations in real-time.

By optimizing our Octopus models specifically for AMD's architecture, we achieved efficient on-device performance without compromising on capabilities.

The Impact

Our collaboration with AMD has demonstrated that sophisticated AI applications can run efficiently on devices powered by AMD Ryzen AI 7 Pro 360 and Radeon 880M iGPU while maintaining enterprise-grade security.

The system's ability to process documents and generate content locally eliminates cloud computing dependencies and data transfer concerns, making it particularly valuable for organizations with sensitive data handling requirements.

Industry Recognition

The solution was featured at AMD Advancing AI 2024, highlighting the growing demand for on-device AI solutions in enterprise applications. This implementation strengthens AMD's position in the enterprise AI market, particularly appealing to sectors where data privacy and processing efficiency are crucial, such as finance, healthcare, and legal services.

Interested in efficient on-device AI for your hardware? Connect with Nexa AI to explore our local RAG technology.

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