Summary: BeagleMind aims to build an AI-powered documentation assistant for BeagleBoard that leverages Retrieval-Augmented Generation (RAG) to deliver accurate, citation-backed answers. Rather than relying on fine-tuning, the assistant uses lightweight techniques like embedding official documentation into a vector database to ground answers with relevant source material. The solution includes web and command-line interfaces, integrates automated evaluation agents to monitor response quality. This tool will enhance user experience, reduce support load, and help developers efficiently navigate BeagleBoard’s technical ecosystem.