02183nam a22002537a 4500 20260804163118.0 260804s2025 |||||||| |||| 00| 0 eng d 9781835087060 PK-LaUMT 006.3 RAI-B Raieli, Salvatore 14739 Building AI agents with LLMs, RAG, and knowledge graphs : a practical guide to autonomous and modern AI agents / Salvatore Raieli and Gabriele Iuculano Birmingham : Packt Publishing, 2025 xviii, 541 p. Expert insight Includes bibliographical references and index. Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and knowledge graphs for advanced problem-solving Leverage innovative approaches like LangChain to create real-world intelligent systems Integrate large language models, graph databases, and tool use for next-gen AI solutions Purchase of the print or Kindle book includes a free PDF eBook Book Description This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You'll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. Eng Deep learning AI-revolution 14740 AI-engine 14741 Iuculano, Gabriele 14742 BK 141902 141902 0 0 0 0 01 01 2026-08-04 0 006.3 RAI-B 153875 2026-08-04 16:30:17 2026-08-04 BK