In this course, you learned about ingesting and normalizing content from a variety of diverse data sources, enriching RAG applications with metadata extracted during preprocessing, and advanced modeling techniques for unlocking content in PDFs and images. You have also learned how to turn the outputs from data preprocessing into a functioning RAGBOT. You have also learned how to turn the outputs from data preprocessing into a functioning RAGBOT. You are now prepared to build a RAGBOT that is aware of information about your project or organization. I'm looking forward to seeing what you have to build on your end.