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Building Data-Driven Applications with LlamaIndex

Building Data-Driven Applications with LlamaIndex

By : Andrei Gheorghiu
5 (10)
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Building Data-Driven Applications with LlamaIndex

Building Data-Driven Applications with LlamaIndex

5 (10)
By: Andrei Gheorghiu

Overview of this book

Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.
Table of Contents (18 chapters)
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Free Chapter
1
Part 1:Introduction to Generative AI and LlamaIndex
4
Part 2: Starting Your First LlamaIndex Project
8
Part 3: Retrieving and Working with Indexed Data
12
Part 4: Customization, Prompt Engineering, and Final Words

Who this book is for

This book has been specifically designed for developers at varying stages of their careers who are eager to understand and exploit the capabilities of Generative AI, particularly through the use of RAG. It aims to serve as a foundational guide for those with a basic understanding of Python development and a general familiarity with Generative AI concepts.

Here are the key audiences who will find this book invaluable:

  • Entry-level developers: Individuals who have a foundational understanding of Python and are beginning their journey into the world of generative AI will find this book an excellent starting point. It will guide you through the initial steps of using the LlamaIndex framework to create robust and innovative applications. You’ll learn the core components, basic workflows, and best practices to kickstart your RAG application development journey.
  • Experienced developers: For those who are already familiar with the landscape of generative AI and are looking to deepen their expertise, this book offers insight into advanced topics within the LlamaIndex framework. You’ll discover how to leverage your existing skills to develop and deploy more complex RAG applications, enhancing the capabilities of your projects and pushing the boundaries of what’s possible with AI.
  • Professionals seeking to harness the full power of LLMs: If you’re looking to improve your productivity by building quick solutions for data-driven problems, this book will teach you the basic concepts and provide you with powerful abilities. If you’re a natural learner and want to experiment with this wonderful technology, this book will provide you with the tools to solve complex problems with greater efficiency and creativity.

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