Knowledge Graphs for LLMs (Paperback)
Language: English
Published by Independently Published, 2025
Series: Book 2 of 4 - AI Projects and Workflow Systems Series
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 20.99
Quantity: 1 available
Add to basketItem description from seller
Paperback. 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 insideFundamentals 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 thisData 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 & formatReproducible projects that convert raw text into production-ready graph assets.Query recipes, integration blueprints, and operational guidelines for graph maintenance and scaling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
Seller Inventory # 9798264455261
- Title
- Knowledge Graphs for LLMs (Paperback)
- Author
- Zhao Miller
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798264455261
- Series
- Book 2 of 4: AI Projects and Workflow Systems Series
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.
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.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
|---|---|---|
| First item | £ 37.00 | £ 37.00 |
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