Explore Retrieval Augmented Generation with LlamaIndex to build intelligent document-based chat applications. Learn embeddings, LLM integration, metadata management, summarization, and index handling. Gain practical skills for implementing RAG workflows effectively.

This course introduces learners to Retrieval Augmented Generation (RAG) using LlamaIndex, enabling the creation of intelligent document-based chat applications. Starting with a clear overview of RAG concepts, learners understand how retrieval complements language models to provide accurate, context-aware responses. Hands-on lessons guide learners through setting up the environment, defining requirements, creating document chat applications, and saving/loading indexes for efficient retrieval. Key topics include working with embeddings, changing the default LLM, managing document metadata, and summarization techniques to enhance the quality of generated outputs. By completing this course, learners gain the ability to implement end-to-end RAG workflows using LlamaIndex, handle large document collections, customize LLMs for specific tasks, and generate meaningful responses from structured and unstructured data. The practical approach ensures learners can translate theoretical concepts into real-world applications. Ideal for AI developers, data engineers, and NLP enthusiasts interested in building intelligent chatbots or knowledge retrieval systems. Basic Python programming and familiarity with LLMs are recommended. The course combines concept explanations with step-by-step practical exercises. Learners move from understanding RAG principles to implementing a document-based chat system, embedding management, and summarization workflows. This course is based on Retrieval Augmented Generation with LlamaIndex, by Zenva Academy. Copyright © 2023 Zenva Academy All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.