Powerful AI Agents with Knowledge Graphs: Build Explainable, High-Performance Agents for Real-World

What if your AI agents could do more than just answer questions-what if they could explain their logic, adapt to new data, and deliver decisions you can actually trust? In a landscape flooded with black-box models and fragile pipelines, teams everywhere are searching for ways to build smarter, more accountable systems that work in real-world environments.

This book delivers exactly that solution. "Powerful AI Agents with Knowledge Graphs" equips you with proven tools and repeatable patterns for building AI agents that don't just process information-they truly understand relationships, context, and meaning. Step by step, you'll learn how to architect scalable knowledge graph pipelines, orchestrate hybrid retrieval and reasoning, and bring transparency to every agent action.

Inside, you'll discover:

Practical strategies for designing and implementing robust knowledge graphs with Neo4j, Memgraph, and Amazon Neptune.

Hands-on techniques for integrating graph databases with LLMs, enabling retrieval-augmented generation (RAG) that delivers not just answers, but explanations.

Complete, ready-to-use code examples for entity extraction, bulk ingestion, schema evolution, and automated pipeline testing.

Field-tested methods for ensuring data consistency, real-time updates, and high performance under production loads.

Proven frameworks for securing, monitoring, and scaling your graph-powered agent systems.

Are you a developer, architect, or AI practitioner seeking solutions that move beyond surface-level chatbots? Do you want to build explainable, future-proof agents for customer support, scientific research, supply chain, or any data-rich domain? This book is your comprehensive guide.

Stop settling for AI that leaves you guessing. Build systems that your users-and your business-can trust. Buy "Powerful AI Agents with Knowledge Graphs" today and start building agents that are transparent, resilient, and truly intelligent.