An Introduction to Retrieval-Augmented Generation (RAG)

This Customer Tech Hour aims to introduce Domino customers to the world of Retrieval Augmented Generation (RAG), a cutting-edge approach in the field of artificial intelligence and natural language processing. 

1. Introduction: We'll start with a brief overview of Domino Data Lab and an introduction to RAG.
2. Theoretical Foundations: We'll review the basics of Natural Language Processing (NLP) to ensure a solid foundation. The session will then cover various retrieval techniques, followed by an explanation of generative models, to ensure a solid understanding of how RAG operates.
3. How RAG Works: This segment dives into the intricacies of RAG, explaining how retrieval and generative components interact. Real-world case studies and examples will be presented to illustrate RAG’s practical applications, accompanied by an overview of the tools and technologies used in RAG systems.
4. Applications and Challenges: The focus shifts to practical applications, showcasing RAG's diverse usage in fields like chatbots and search engines. We'll also discuss current challenges and limitations, providing a realistic view of the technology. 
5. Demo & Q&A: We'll demonstrate RAG within Domino and then leave time for Q&A at the end of the session.