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Building AI Agents with LLMs, RAG, and Knowledge Graphs

You're reading from   Building AI Agents with LLMs, RAG, and Knowledge Graphs A practical guide to autonomous and modern AI agents

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Product type Paperback
Published in Jul 2025
Publisher Packt
ISBN-13 9781835087060
Length 560 pages
Edition 1st Edition
Concepts
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Authors (2):
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Salvatore Raieli Salvatore Raieli
Author Profile Icon Salvatore Raieli
Salvatore Raieli
Gabriele Iuculano Gabriele Iuculano
Author Profile Icon Gabriele Iuculano
Gabriele Iuculano
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Table of Contents (17) Chapters Close

Preface 1. Part 1: The AI Agent Engine: From Text to Large Language Models
2. Chapter 1: Analyzing Text Data with Deep Learning FREE CHAPTER 3. Chapter 2: The Transformer: The Model Behind the Modern AI Revolution 4. Chapter 3: Exploring LLMs as a Powerful AI Engine 5. Part 2: AI Agents and Retrieval of Knowledge
6. Chapter 4: Building a Web Scraping Agent with an LLM 7. Chapter 5: Extending Your Agent with RAG to Prevent Hallucinations 8. Chapter 6: Advanced RAG Techniques for Information Retrieval and Augmentation 9. Chapter 7: Creating and Connecting a Knowledge Graph to an AI Agent 10. Chapter 8: Reinforcement Learning and AI Agents 11. Part 3: Creating Sophisticated AI to Solve Complex Scenarios
12. Chapter 9: Creating Single- and Multi-Agent Systems 13. Chapter 10: Building an AI Agent Application 14. Chapter 11: The Future Ahead 15. Index 16. Other Books You May Enjoy

SaaS, MaaS, DaaS, and RaaS

In this section, we will explore various business models influenced by recent advancements in AI. While multi-agent LLMs represent cutting-edge technology, their value lies in being adaptable to meet business needs, enabling them to be effectively packaged, marketed, and delivered to businesses and consumers. Considering that these systems are extremely expensive to develop and maintain, it is important for the reader to understand what the revenue models are so that they can think about, design, and develop products that align with the company’s strategy. Understanding these models allows us to grasp that a multi-agent system is not a standalone item but should be considered a product and that this product can be marketed in various ways. In addition, LLMs are extremely expensive products, and each of these business models has advantages and disadvantages in terms of continuous updates, scalability, and flexibility in AI deployment. At the same time...

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