This lesson demonstrates how to significantly improve Retrieval Augmented Generation (RAG) systems by employing multi-query techniques. By transforming single questions into multiple perspectives, the lesson showcases how to enhance retrieval accuracy and overcome limitations of traditional semantic search, leveraging LangChain and various vector databases for efficient parallel processing.