Introduction to Retrieval Augmented Generation (RAG)
AI Summary
In this video, the speaker discusses the importance of customizing agents using pre-existing generative AI models. They introduce the concept of Retrieval-Augmented Generation (RAG), explaining how it revolutionizes generative AI by allowing models to dynamically retrieve and learn from new data rather than relying solely on static training data. The video emphasizes the necessity for organizations to use tools that enable agents to process and learn from their own information to provide relevant and current solutions. The speaker concludes by inviting viewers to explore how RAG systems utilize various types of tooling for effective agent customization.