Knowledge Graphs for AI Engineers
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
Series: Book 4 of 4 - Applied LLM Systems: Production Patterns for Agents, Context, and Knowledge Graphs
- Softcover
- New
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
US$ 24.38
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New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798265892454
- Title
- Knowledge Graphs for AI Engineers
- Author
- Carter Zhang
- Publisher
- Amazon Digital Services LLC - Kdp
- Publication year
- 2025
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798265892454
- Item weight
- 372 grams
- Series
- Book 4 of 4: Applied LLM Systems: Production Patterns for Agents, Context, and Knowledge Graphs
A central theme is converting graph semantics into numerical representations: learn KG embedding algorithms, vectorization strategies, and how to integrate KG embeddings into hybrid retrieval and RAG flows. The book covers query languages (SPARQL and Cypher), rule-based reasoning, and integrating inference engines with LLMs to create grounded, explainable responses. Operational topics include governance, schema evolution, privacy, security, visualization, and scaling patterns. Case studies illustrate clinical knowledge graphs, enterprise product catalogs, and customer-support knowledge bases.
What’s inside:
- Ontology and schema blueprints for common domains.
- ETL patterns and pipeline templates for reliable KG ingestion.
- Entity linking, canonicalization, and de-duplication best practices.
- KG embeddings, graph neural net overviews, and conversion to vector indexes.
- Query examples in SPARQL and Cypher tuned for retrieval and analytics.
- Integration patterns for combining graph queries with vector search in RAG stacks.
- Reasoning and rule-engine examples for inference and business rules.
- Visualization and analytics workflows for KG insights and reporting.
- Governance: access control, data provenance, compliance, and lifecycle management.
- Scaling, replication, and operational playbooks for production KGs.
- Knowledge engineers, data engineers, ML engineers, and technical product teams building graph-backed AI.
- Enterprises needing explainability, versioning, and governance in their AI pipelines.
- Research teams and tool-builders interested in KG embeddings and hybrid retrieval.
"Synopsis" may belong to another edition of this title.
PBShop.store US
Wood Dale, IL, U.S.A.
AbeBooks seller since April 7, 2005
Shipping rates within U.S.A.
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