In this talk, you will discover how to harness the power of Retrieval-Augmented Generation (RAG) and extend the capabilities of Large Language Models (LLMs) using LangChain. We will delve into practical applications, demonstrating how you can enhance the knowledge of LLMs by integrating additional data from diverse sources. Join us to explore the exciting possibilities that lie at the intersection of retrieval-based and generative-based models.