Building AI Agents with LLMs, RAG, and Knowledge Graphs

This book provides a comprehensive and practical guide to creating cutting-edge AI agents combining advanced technologies such as LLMs, retrieval-augmented generation (RAG), and knowledge graphs. By reading this book, you'll gain a deep understanding of how to design and build AI agents capable of real-world problem solving, reasoning, and action execution.

What this Book will help me do

• Understand the foundations of LLMs, RAG, and knowledge graphs, and how they can be combined to build effective AI agents.
• Learn techniques to enhance factual accuracy and grounding through RAG pipelines and knowledge graphs.
• Develop AI agents that integrate planning, reasoning, and live tool usage to solve complex problems.
• Master the use of Python and popular AI libraries to build scalable AI agent applications.
• Acquire strategies for deploying and monitoring AI agents in production for reliable operation.

Author(s)

This book is written by Salvatore Raieli and Gabriele Iuculano, accomplished experts in artificial intelligence and machine learning. Both authors bring extensive professional experience from their work in AI-related fields, particularly in applying innovative AI methods to solve challenging problems. Through their clear and approachable writing style, they aim to make advanced AI concepts accessible to readers at various levels.

Who is it for?

This book is ideally suited for data scientists, AI practitioners, and technology enthusiasts seeking to deepen their knowledge in building intelligent AI agents. It is perfect for those who already have a foundational understanding of Python and general artificial intelligence concepts. Experienced professionals looking to explore state-of-the-art AI solutions, as well as beginners eager to advance their technical skills, will find this book invaluable.