This lesson demonstrates building a Retrieval Augmented Generation (RAG) system using LangChain, covering indexing, embedding, and similarity search for efficient document retrieval. The process is visualized using LangSmith, showcasing the workflow from question to answer, highlighting the importance of task decomposition and LangChain's various integrations.