• 1.1 Hours

  • 4.8/5

  • Intermediate

Building Your First RAG Model using LlamaIndex

This course will guide you through building your first Retrieval-Augmented Generation (RAG) system using LlamaIndex. You will start with data ingestion by loading a file into the system, followed by indexing the data for efficient retrieval. Next, you will set up retrieval configurations and use a response synthesizer to combine data into a coherent response. Finally, you will employ a query engine to generate responses. By the end of this course, you will have a solid understanding of these processes and be able to build an RAG system using LlamaIndex code effectively.

Course curriculum

  • 1
    Introduction to RAG systems
    • Welcome to this course
    • Why RAG
    • What is RAG system
    • Overview of RAG Framework
    • Quiz
    • Course handouts
  • 2
    Getting Started with LlamaIndex
    • Introduction to LlamaIndex
    • Components of LlamaIndex
    • Reading Material: How to get your API Key
    • How to get Open AI Keys - 2 min - Website go through
    • Build Your First RAG system using LlamaIndex
    • Quiz

Certificate of Completion

Unlock a lifetime-valid certificate from Analytics Vidhya upon completing the course—your achievement is forever recognized!
Certificate of Completion

What do I need to start the course

  • A working laptop/desktop and an internet connection

  • Knowledge of Deep Learning

  • Understanding of Large Language Models

About the Instructor

Prashant Sahu, Ph.D IIT Bombay; Data Science Manager, Analytics Vidhya

A dynamic and innovative Data Scientist who brings extensive experience in Artificial Intelligence, Machine Learning, and Advanced Analytics to the table.
About the Instructor

Key Takeaways from the course

  • Learn the steps involved in building a RAG system using Llamaindex.

  • Hands-On Experience: Engage with exercises designed to reinforce your learning and apply concepts in real-world scenarios.