000			02183nam a22002537a 4500
005			20260804163118.0
008			260804s2025 |||||||| |||| 00| 0 eng d
020			_a9781835087060
040			_cPK-LaUMT
082			_a006.3 _bRAI-B
100	1		_aRaieli, Salvatore _914739
245	1	0	_aBuilding AI agents with LLMs, RAG, and knowledge graphs : _ba practical guide to autonomous and modern AI agents / _cSalvatore Raieli and Gabriele Iuculano
260			_aBirmingham : _bPackt Publishing, _c2025
300			_axviii, 541 p.
490			_aExpert insight
500			_aIncludes bibliographical references and index.
520			_aMaster 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.
546			_aEng
650			_aDeep learning
650			_aAI-revolution _914740
650			_aAI-engine _914741
700	1		_aIuculano, Gabriele _914742
942			_cBK
999			_c141902 _d141902