Building Data-Driven Applications with LlamaIndex

Preface

Beyond the initial hype that the fast advance of Generative AI and Large Language Models (LLMs) has produced, we have been able to observe both the abilities and shortcomings of this technology. LLMs are versatile and powerful tools driving innovation across various fields, serving as the foundation for natural language generation technology. Despite their potential, though, LLMs have limitations such as lacking access to real-time data, struggling to distinguish truth from falsehoods, maintaining context over long documents, and exhibiting unpredictable failures in reasoning and fact retention. Retrieval-Augmented Generation (RAG) attempts to solve many of these shortcomings and LlamaIndex is perhaps the simplest and most user-friendly ...