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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

Other projects and further learning

As we approach the end of this book, it becomes clear that our journey toward mastering the LlamaIndex framework is only just beginning. I believe that theoretical knowledge can only take us so far. Practical applications are the key to having a real understanding of the information and its application to real-world problems. For this reason, I strongly encourage you to practice and experiment with the tools described in this book. The best way to practice is by studying and building actual RAG applications.

The LlamaIndex examples collection

A great starting point for solidifying your knowledge is the plethora of examples and cookbooks available on the official LlamaIndex documentation page: https://docs.llamaindex.ai/en/stable/examples/. By examining and experimenting with the examples and cookbooks available there, you will gain practical insights into how to use nearly every component of the framework. Additionally, you will learn how to...

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