Knowledge Graphs for LLMs: Harnessing Structured Intelligence for Smarter AI Systems: Graph Construction, Retrieval-Augmented Generation, and Semantic Workflows - Couverture souple

Livre 2 sur 4: AI Projects and Workflow Systems Series

Miller, Zhao

 
9798264455261: Knowledge Graphs for LLMs: Harnessing Structured Intelligence for Smarter AI Systems: Graph Construction, Retrieval-Augmented Generation, and Semantic Workflows
Couverture souple
ISBN 13 : 9798264455261
Editeur : Independently published, 2025

Synopsis

A professional, applied manual for designing, building, and operationalizing knowledge graphs that materially improve LLM-driven systems. This book provides the end-to-end technical roadmap data ingestion, entity/relation extraction, schema design, storage, querying, and LLM integration required to create explainable, high-precision hybrid AI systems.
What’s inside

  • Fundamentals of graph modeling, schema & ontology design, and graph theory essentials.
  • Practical pipelines for extracting structured facts from unstructured text using NLP and embeddings.
  • Integration patterns for Neo4j/RDF/graph stores, vector databases, and RAG architectures.
  • Querying and analytics: SPARQL, Cypher, and hybrid retrieval approaches.
  • Performance optimization, versioning, governance, and visualization techniques.
  • Domain case studies (healthcare, finance, enterprise search) demonstrating measurable ROI.
Key topics;
knowledge graphs, graph databases, ontology design, entity extraction, SPARQL, Cypher, RAG, embeddings, semantic search, graph-augmented LLMs, information retrieval, data governance.
Who should read this
Data engineers, knowledge engineers, ML/AI practitioners, and technical product managers tasked with building authoritative retrieval systems or explainable AI features. A working knowledge of databases and basic NLP is helpful.
Deliverables & format
  • Reproducible projects that convert raw text into production-ready graph assets.
  • Query recipes, integration blueprints, and operational guidelines for graph maintenance and scaling.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798264455261
Reliure
Broché
Nombre de pages
194
Coordonnées du fabricant
non disponible
Personne responsable
non disponible