Advanced Retrieval-Augmented Generation

Bridging Large Language Models and Knowledge Graphs

Produkt bewerten

Huijun Wu

▪Wendy Ran Wei

Verlag:

John Wiley & Sons

Unsere-Artikel-Nr.: P35953628

EAN: 9781394374687

Erhältlich:

Nicht auf Lager

Zustellung: Di, 15.09.2026

Versand: Kostenlos

-15.6 %

CHF 180.–

CHF 152.–

Beschreibung

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.

Spezifikationen

Sprache

Englisch

Autor

Huijun Wu
Wendy Ran Wei

Erscheinungsjahr

2026

Format

Buch (Hardcover)

Anzahl Seiten