Advanced Retrieval Augmented Generation Bridging Large Language Models And Knowledge Graphs (Wendy Ran Wei, Huijun Wu)

Advanced Retrieval-Augmented Generation
by Wendy Ran Wei, Huijun Wu

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ISBN: 9781394374694 • Publisher: • Year: 2026
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[color=#55acee]🌐 Language: English
[color=#44bb44]📄 Pages: 559

[color=#888888]📝 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 limitations
RAG pipeline engineering ― chunking, indexing, retrieval, ranking, and generation
KG construction and analytics ― schema design, extraction techniques, graph algorithms, embeddings, and GNNs
Graph-RAG architectures and evaluation ― graph-based retrieval, graph-assisted generation, hybrid LLM-KG workflows, frameworks, benchmarks, and metrics
Emerging 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.

[color=#ff9900]📦 Download Info
Folder: Advanced Retrieval Augmented Generation Bridging Large Language Models And Knowledge Graphs
Format: EPUB
Total Size: 22.61 MB

📋 File List:
📅 31-07-2026 | ⏰ 11:44 UTC

[size=2]

📌 11622001.epub (Wendy Ran Wei, Huijun Wu) (2026) (16.16 MB)

📌 Advanced_Retrieval-Augmented_Generation_-_Bridging_Large_Language_Models_and_Knowledge_Graphs.pdf (Wendy Ran Wei, Huijun Wu) (6.45 MB)

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