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Building Data-Driven Applications with LlamaIndex

Building Data-Driven Applications with LlamaIndex

By : Andrei Gheorghiu
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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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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

Building Chatbots and Agents with LlamaIndex

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

This chapter provides an in-depth look at implementing chatbots and intelligent agents using the capabilities of LlamaIndex. We will explore the various chat engine modes available, from simple chatbots to more advanced context-aware and question-condensing engines. Then, we’ll dive into agent architectures, analyzing tools, reasoning loops, and parallel execution methods. You will gain practical knowledge so that you can build conversational interfaces powered by LLMs that can understand user needs and orchestrate responses or actions by utilizing tools and data sources.

Throughout this chapter, we’re going to cover the following main topics:

  • Understanding chatbots and agents
  • Implementing agentic strategies in our apps
  • Hands-on – implementing...

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