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Building Data-Driven Applications with LlamaIndex
Building Data-Driven Applications with LlamaIndex

Building Data-Driven Applications with LlamaIndex: A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

By Andrei Gheorghiu
€26.99 €17.99
Book May 2024 368 pages 1st Edition
eBook
€26.99 €17.99
Print
€33.99
Subscription
€14.99 Monthly
eBook
€26.99 €17.99
Print
€33.99
Subscription
€14.99 Monthly

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Product Details


Publication date : May 10, 2024
Length 368 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781835089507
Category :
Languages :
Concepts :
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Building Data-Driven Applications with LlamaIndex

Part 1:Introduction to Generative AI and 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 first part begins by introducing generative AI and Large Language Models (LLMs), discussing their ability to produce human-like text, their limitations, and how Retrieval-Augmented Generation (RAG) can address these issues by enhancing accuracy, reasoning, and relevance. We then progress to understand how LlamaIndex leverages RAG to bridge the gap between LLMs’ extensive knowledge and proprietary data, elevating the potential of interactive AI applications.

This part has the following chapters:

  • Chapter 1, Understanding Large Language Models
  • Chapter 2, LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem
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Key benefits

  • Examine text chunking effects on RAG workflows and understand security in RAG app development
  • Discover chatbots and agents and learn how to build complex conversation engines
  • Build as you learn by applying the knowledge you gain to a hands-on project

Description

Generative AI, such as Large Language Models (LLMs) possess immense potential. These models simplify problems but have limitations, including contextual memory constraints, prompt size issues, real-time data gaps, and occasional "hallucinations." With this book, you’ll go from preparing the environment to gradually adding features and deploying the final project. You’ll gradually progress from fundamental LLM concepts to exploring the features of this framework. Practical examples will guide you through essential steps for personalizing and launching your LlamaIndex projects. Additionally, you’ll overcome LLM limitations, build end-user applications, and acquire skills in ingesting, indexing, querying, and connecting dynamic knowledge bases, covering Generative AI and LLM, as well as LlamaIndex deployment. As you approach the conclusion, you’ll delve into customization, gaining a holistic grasp of LlamaIndex's capabilities and applications. By the end of the book, you’ll be able to resolve challenges in LLMs and build interactive AI-driven applications by applying best practices in prompt engineering and troubleshooting Generative AI projects.

What you will learn

Understand the LlamaIndex ecosystem and common use cases Master techniques to ingest and parse data from various sources into LlamaIndex Discover how to create optimized indexes tailored to your use cases Understand how to query LlamaIndex effectively and interpret responses Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit Customize a LlamaIndex configuration based on your project needs Predict costs and deal with potential privacy issues Deploy LlamaIndex applications that others can use

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : May 10, 2024
Length 368 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781835089507
Category :
Languages :
Concepts :

Table of Contents

18 Chapters
Preface Chevron down icon Chevron up icon
Part 1:Introduction to Generative AI and LlamaIndex Chevron down icon Chevron up icon
Chapter 1: Understanding Large Language Models Chevron down icon Chevron up icon
Chapter 2: LlamaIndex: The Hidden Jewel - An Introduction to the LlamaIndex Ecosystem Chevron down icon Chevron up icon
Part 2: Starting Your First LlamaIndex Project Chevron down icon Chevron up icon
Chapter 3: Kickstarting Your Journey with LlamaIndex Chevron down icon Chevron up icon
Chapter 4: Ingesting Data into Our RAG Workflow Chevron down icon Chevron up icon
Chapter 5: Indexing with LlamaIndex Chevron down icon Chevron up icon
Part 3: Retrieving and Working with Indexed Data Chevron down icon Chevron up icon
Chapter 6: Querying Our Data, Part 1 – Context Retrieval Chevron down icon Chevron up icon
Chapter 7: Querying Our Data, Part 2 – Postprocessing and Response Synthesis Chevron down icon Chevron up icon
Chapter 8: Building Chatbots and Agents with LlamaIndex Chevron down icon Chevron up icon
Part 4: Customization, Prompt Engineering, and Final Words Chevron down icon Chevron up icon
Chapter 9: Customizing and Deploying Our LlamaIndex Project Chevron down icon Chevron up icon
Chapter 10: Prompt Engineering Guidelines and Best Practices Chevron down icon Chevron up icon
Chapter 11: Conclusion and Additional Resources Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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