Retrieval-Augmented Generation (RAG) combines information retrieval with AI-generated responses to improve accuracy and contextual relevance. This project demonstrates the design and implementation of a RAG-based system using Node.js, Express, LangChain, and MySQL, optimized with caching, parallel processing, and AI-driven query handling.