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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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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

Indexing data – a bird’s-eye view

We briefly discussed the importance and general functioning of Indexes in a RAG application in Chapter 3, in the section titled Uncovering the essential building blocks of LlamaIndex – documents, nodes, indexes. Now, it is time to have a closer look at the different indexing methods available in LlamaIndex with their advantages, disadvantages, and specific use cases.

In principle, data can be accessed even without an Index. But it’s like reading a book without a table of contents. As long as it’s about a story that has continuity and can be read sequentially, section by section, and chapter by chapter, reading will be a pleasure. However, things change when we need to quickly search for a specific topic in that book. Without a table of contents, the search process will be slow and cumbersome.

In LlamaIndex, however, Indexes represent more than just a simple table of contents. An Index provides not only the necessary...

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