GDG on Campus University of Management and Technology - Lahore, Pakistan
Learn how to efficiently index and retrieve data using LlamaIndex for Retrieval-Augmented Generation (RAG). This lecture covers indexing methods, structured data handling, and hands-on setup to enhance AI-driven search and response generation.
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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.
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