In this lecture, we explore LlamaIndex, a powerful tool for indexing and retrieving structured and unstructured data in Retrieval-Augmented Generation (RAG) pipelines. We'll cover different indexing methods (list, tree, keyword, and vector-based indexes), how they impact retrieval performance, and their real-world applications. The hands-on session will guide you through setting up LlamaIndex, connecting it to diverse data sources, and optimizing it for efficient query-based retrieval. By the end of this lecture, you'll have a solid understanding of how LlamaIndex enhances LLM-powered applications.