Graph RAG Powered Systems Building Semantic Retrieval Pipelines with Neo4j
Language: English
Published by Independently Published, 2025
Series: Book 1 of 2 - Graph-Augmented Intelligence Engineering Series
- Softcover
- New

Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
AbeBooks seller since April 7, 2005
Condition: New
US$ 24.59
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Add to basketItem description from seller
Seller Inventory # L2-9798275139150
- Title
- Graph RAG Powered Systems Building Semantic Retrieval Pipelines with Neo4j
- Author
- Alex Ming
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 13
- 9798275139150
- Item weight
- 299 grams
- Series
- Book 1 of 2: Graph-Augmented Intelligence Engineering Series
This volume provides a deep, technical foundation for designing and implementing semantic retrieval systems using Neo4j, RDF, SPARQL, Cypher, and modern vector databases.
Readers will learn how to construct expressive graph schemas, model relationships, unify structured and unstructured data, and design multi-hop retrieval chains that outperform traditional dense retrieval techniques. The book covers end-to-end pipeline design from ETL ingestion, ontology creation, entity canonicalization, graph cleansing, and semantic indexing to hybrid vector-graph querying, context ranking, and RAG orchestration.
Included are practical engineering patterns for building domain-specific retrieval systems in finance, science, legal research, and enterprise knowledge hubs. Readers will implement workflows that ensure precision, traceability, explainability, and repeatability, creating retrieval systems suitable for mission-critical applications.
"Synopsis" may belong to another edition of this title.
PBShop.store US
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