This lesson demonstrates building robust Retrieval Augmented Generation (RAG) pipelines using LangChain, focusing on advanced query decomposition techniques like Least-to-Most prompting and RAG fusion to improve accuracy and efficiency in complex question answering. The lesson covers various database interactions, LLM integration, and practical implementation using Python and LangChain, showcasing a complete workflow from question decomposition to final answer synthesis.