{"product_id":"advanced-retrieval-augmented-generation-bridging-large-language-models-and-knowledge-graphs-9781394374687","title":"Advanced Retrieval–Augmented Generation: Bridging Large Language Models and Knowledge Graphs: Bridging Large Language Models and Knowledge Graphs","description":"Build Accurate, Grounded, and Trustworthy AI Systems with Retrieval-Augmented Generation Large language models are powerful—but they hallucinate. Advanced Retrieval-Augmented Generation offers a complete guide from the foundations of information retrieval (IR) to the cutting-edge frontiers of RAG. Bridging large language models (LLMs) and knowledge graphs (KGs), this book provides the theoretical principles, practical techniques, and hands-on frameworks needed to build reliable AI systems that minimize hallucinations and improve factual correctness. The book covers core concepts of Graph-RAG with applications across search, recommendation, and enterprise AI. Practical chapters demonstrate implementations using LlamaIndex, Neo4j, and leading Graph-RAG frameworks. Readers will learn: IR and LLM fundamentals — model paradigms, transformer architecture, model families, training techniques, prompt engineering, applications, and limitationsRAG pipeline engineering — chunking, indexing, retrieval, ranking, and generationKG construction and analytics — schema design, extraction techniques, graph algorithms, embeddings, and GNNsGraph-RAG architectures and evaluation — graph-based retrieval, graph-assisted generation, hybrid LLM–KG workflows, frameworks, benchmarks, and metricsEmerging directions — multimodal KGs, dynamic graphs, explainable RAG, RL-based traversal, and enterprise-scale implementations With extensive hands-on examples and production-ready patterns, Advanced Retrieval-Augmented Generation is an indispensable resource for AI practitioners, ML engineers, researchers, and architects building the next generation of reliable, knowledge-grounded AI systems.\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublication date:\u003c\/strong\u003e 27 July 2026\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePage count:\u003c\/strong\u003e 560\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e John Wiley \u0026amp; Sons Inc\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e Hardback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eISBN-13:\u003c\/strong\u003e 9781394374687\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Huijun Wu","offers":[{"title":"Hardback","offer_id":67645538009338,"sku":"9781394374687","price":96.46,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/9781394374687.jpg?v=1791242544","url":"https:\/\/shulphink.com\/products\/advanced-retrieval-augmented-generation-bridging-large-language-models-and-knowledge-graphs-9781394374687","provider":"Shulph Ink","version":"1.0","type":"link"}