A Lightweight Retrieval-Augmented Generation System for Mobile Devices
Retrieval-Augmented Generation (RAG) combines a language model (LLM) with a retrieval system to improve response accuracy by incorporating relevant external knowledge. Deploying RAG on mobile devices presents unique challenges, such as memory constraints, limited processing power, and the need for efficiency. In this blog, I want to build a lightweight RAG system optimized for mobile … Read more →