This lesson demonstrates building a Retrieval Augmented Generation (RAG) pipeline using the Vectorize platform to quickly process and query large PDF datasets, such as Denver's zoning regulations. The tutorial covers key steps including data ingestion from Dropbox, configuring extraction strategies, selecting a vector database (like Pinecone), and deploying a functional chatbot for efficient question answering.