Building Datadriven Applications With Llamaindex A Practical Guide To Retrievalaugmented Generation Rag To Enhance Llm Applications 1st Edition Andrei Gheorghiu by Andrei Gheorghiu instant download after payment.

Many enthusiasts as well as more experienced programmers have already discovered the immense potential that Generative AI such as Large Language Models possess. 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 will be taken through all the necessary steps from preparing the environment to gradually adding features and deploying the final project. Starting from fundamental LLM concepts to exploring the features of this framework. Practical examples guide you through necessary steps on personalising and launching your LlamaIndex projects. Overcome LLM limitations build end-user applications and acquire skills in ingesting indexing querying and connecting dynamic knowledge bases. The book covers Generative AI and LLM understanding LlamaIndex deployment and concludes with customisation providing a holistic grasp of LlamaIndex's capabilities and applications.
By the end of the book you will 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