This lesson demonstrates how "step-back prompting" improves Retrieval Augmented Generation (RAG) systems by reformulating complex questions into more abstract forms for better context retrieval. The process, visualized with flowcharts and code examples using Langchain, enhances Large Language Model (LLM) accuracy through a multi-stage query translation and dual retrieval approach.