{ "item_title" : "Advanced Retrieval-Augmented Generation", "item_author" : [" Wendy Ran Wei", "Huijun Wu "], "item_description" : "Build Accurate, Grounded, and Trustworthy AI Systems with Retrieval-Augmented GenerationLarge 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 implementationsWith 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/39/437/468/1394374682_b.jpg", "price_data" : { "retail_price" : "140.00", "online_price" : "140.00", "our_price" : "140.00", "club_price" : "140.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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