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AI Summary: A hands-on guide to building sophisticated AI agents by integrating LLMs with RAG pipelines, knowledge graphs, and external tools to reduce hallucinations and enable autonomous task execution.

Book2025-07-11•Source ↗•300 attns358 checkouts

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Building AI Agents with LLMs, RAG, and Knowledge Graphs: A Practical Guide to Autonomous and Modern AI Agents

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Salvatore Raieli·

Gabriele Iuculano

ABSTRACT

This comprehensive guide empowers developers to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. It provides a practical roadmap from concept to implementation, detailing how to connect large language models with external APIs and structured knowledge for advanced problem-solving. Concrete Python examples reinforce each concept, helping teams transition from building basic chatbots to deploying robust, autonomous multi-agent workflows.

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