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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

Preparing our coding environment

Before we embark on the LlamaIndex coding journey, it’s essential to set up our development environment properly. This setup is the first step toward ensuring that we can smoothly run through the examples and exercises I’ve prepared for you.

Note

To maintain simplicity and ensure consistency across all examples, I’ve designed the sample code to be run in a local Python environment. I’m aware that many of you are fond of using web-based coding environments such as Google Colab and Jupyter Notebooks for your coding projects, so I kindly ask for your understanding if these examples do not directly translate to or run in these platforms. My goal was to keep our setup straightforward, allowing us to focus on the learning experience without compatibility concerns. Thank you for your understanding and happy coding!

Let’s quickly get our computer set up for some cool LlamaIndex coding.

Installing Python

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