Lecture 8: LlamaIndex for RAG basics

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.

Apr 3, 3:00 – 4:00 PM (UTC)

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Key Themes

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About this event

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.

Organizers

  • Noor Ul Hassan

    Campus Lead

  • Mohibullah Atif

    Campus Co-Lead

  • Sibgha Zeeshan

    Campus Co Lead (Female)

  • Abdullah Faisal

    AI/ML Lead

  • Khawaja Muhammad Bilal

    Credminds

    Web Development Lead

  • Muhammad Uzair

    Upwork INC

    App Development Lead

  • AHSAN TARIQ

    Game Dev Lead

  • RESHMAIL FATIMA

    Stewart Title

    Generative AI Lead

  • Zainab Manzoor

    Women In Tech Lead

  • Rabia Khalid

    Media Lead

  • Masroor Ahmed

    Marketing Lead

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