{"product_id":"9781394374687","title":"Advanced Retrieval-Augmented Generation Bridging Large Language Models and Knowledge Graphs","description":"\u003ch1\u003eAdvanced Retrieval-Augmented Generation\u003c\/h1\u003e\u003ch2\u003eBridging Large Language Models and Knowledge Graphs\u003c\/h2\u003e\u003ch3\u003eWendy Ran Wei | Huijun Wu\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ Natural Language Processing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eBuild Accurate, Grounded, and Trustworthy AI Systems with Retrieval-Augmented Generation\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eLarge language models are powerful—but they hallucinate.\u003ci\u003e Advanced Retrieval-Augmented Generation \u003c\/i\u003eoffers 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. \u003c\/p\u003e\n\u003cp\u003eReaders will learn: \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eIR and LLM fundamentals — model paradigms, transformer architecture, model families, training techniques, prompt engineering, applications, and limitations\u003c\/li\u003e \u003cli\u003eRAG pipeline engineering —chunking, indexing, retrieval, ranking, and generation\u003c\/li\u003e \u003cli\u003eKG construction and analytics — schema design, extraction techniques, graph algorithms, embeddings, and GNNs\u003c\/li\u003e \u003cli\u003eGraph-RAG architectures and evaluation — graph-based retrieval, graph-assisted generation, hybrid LLM–KG workflows, frameworks, benchmarks, and metrics\u003c\/li\u003e \u003cli\u003eEmerging directions — multimodal KGs, dynamic graphs, explainable RAG, RL-based traversal, and enterprise-scale implementations\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWith extensive hands-on examples and production-ready patterns, \u003ci\u003eAdvanced Retrieval-Augmented Generation\u003c\/i\u003e is an indispensable resource for AI practitioners, ML engineers, researchers, and architects building the next generation of reliable, knowledge-grounded AI systems.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eWendy Ran Wei\u003c\/b\u003e, PhD, is an expert in AI, ML, and LLMs, specializing in search and recommendation systems. She is a Machine Learning Engineer at Airbnb, where she develops retrieval and ranking models and brings LLM technologies into production. She previously held engineering roles at Meta, Pinterest, and Twitter, building large-scale search and recommendation solutions. Dr. Wei received her PhD in Statistics from The Ohio State University.  \u003cb\u003eHuijun Wu\u003c\/b\u003e, PhD, is an Engineer at Samsung Research America with expertise in large-scale distributed systems and data processing. He received his PhD in Computer Science from Arizona State University. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e17 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394374687\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e560\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":45227652350092,"sku":"9781394374687","price":126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394374687.jpg?v=1781090509","url":"https:\/\/lateknightbooks.com\/products\/9781394374687","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}