Graph RAG Projects Engineering Advanced Retrieval Systems with Vector Databases and LLMs (Paperback)
Language: English
Published by Independently Published, 2025
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 18.49
Quantity: 1 available
Add to basketItem description from seller
Paperback. Graph RAG Projects: Engineering Advanced Retrieval Systems with Vector Databases and LLMs is a comprehensive, hands-on guide for developers, AI engineers, data scientists, and enterprise teams building next-generation retrieval systems powered by knowledge graphs, vector databases, and large language models (LLMs).In this deep, practical resource, author Zhao Colton introduces a complete blueprint for designing, implementing, and deploying Graph RAG (Graph Retrieval-Augmented Generation) systems capable of semantic understanding, knowledge reasoning, and enterprise-grade retrieval performance. Unlike traditional vector-only RAG setups, Graph RAG brings together graph structures, entity relationships, context linking, semantic indexing, and structured reasoning, creating far more accurate and explainable AI tools.This book is built around real-world projects, code workflows, and production patterns to help you master advanced retrieval architectures, graph construction techniques, graph embeddings, multi-hop reasoning, knowledge extraction, and hybrid search pipelines. Whether you're building semantic search engines, structured reasoning agents, knowledge-aware chatbots, research assistants, or enterprise AI solutions, this guide gives you the tools to engineer sophisticated retrieval workflows at scale.What You Will LearnHow to build Graph RAG pipelines that combine graph databases, embeddings, and language modelsTechniques for knowledge graph modeling, entity extraction, relationship mapping, and ontology designMethods for integrating vector search, graph traversal, topology-based ranking, and hybrid retrievalHow to implement semantic search tools, reasoning engines, and context-aware AI assistantsPractical applications using Neo4j, ArangoDB, NetworkX, and modern vector storesApproaches to structured retrieval, context routing, and LLM reasoning over graph dataWorkflows for building scalable enterprise solutions with graph reasoning, semantic indexing, and multi-step retrieval logicPatterns for real-world deployment, optimization, and evaluation of Graph RAG systemsEvery chapter combines conceptual clarity with implementation depth, ensuring you understand not just what to build, but how to build it effectivelyWho This Book Is ForAI/ML EngineersData ScientistsKnowledge EngineersEnterprise Software TeamsNLP ResearchersDevelopers building retrieval-based AI systemsAnyone interested in knowledge graphs, semantic search, or advanced RAG architecturesWhether you're upgrading an existing RAG pipeline or designing a new retrieval system from scratch, this book will help you create high-performance, knowledge-aware solutions ready for production. 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 # 9798278139621
- Title
- Graph RAG Projects Engineering Advanced Retrieval Systems with Vector Databases and LLMs (Paperback)
- Author
- Zhao Colton
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798278139621
In this deep, practical resource, author Zhao Colton introduces a complete blueprint for designing, implementing, and deploying Graph RAG (Graph Retrieval-Augmented Generation) systems capable of semantic understanding, knowledge reasoning, and enterprise-grade retrieval performance. Unlike traditional vector-only RAG setups, Graph RAG brings together graph structures, entity relationships, context linking, semantic indexing, and structured reasoning, creating far more accurate and explainable AI tools.
This book is built around real-world projects, code workflows, and production patterns to help you master advanced retrieval architectures, graph construction techniques, graph embeddings, multi-hop reasoning, knowledge extraction, and hybrid search pipelines. Whether you’re building semantic search engines, structured reasoning agents, knowledge-aware chatbots, research assistants, or enterprise AI solutions, this guide gives you the tools to engineer sophisticated retrieval workflows at scale.
What You Will Learn
- How to build Graph RAG pipelines that combine graph databases, embeddings, and language models
- Techniques for knowledge graph modeling, entity extraction, relationship mapping, and ontology design
- Methods for integrating vector search, graph traversal, topology-based ranking, and hybrid retrieval
- How to implement semantic search tools, reasoning engines, and context-aware AI assistants
- Practical applications using Neo4j, ArangoDB, NetworkX, and modern vector stores
- Approaches to structured retrieval, context routing, and LLM reasoning over graph data
- Workflows for building scalable enterprise solutions with graph reasoning, semantic indexing, and multi-step retrieval logic
- Patterns for real-world deployment, optimization, and evaluation of Graph RAG systems
Who This Book Is For
- AI/ML Engineers
- Data Scientists
- Knowledge Engineers
- Enterprise Software Teams
- NLP Researchers
- Developers building retrieval-based AI systems
- Anyone interested in knowledge graphs, semantic search, or advanced RAG architectures
"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 |
Payment methods
Store description
Online business
Seller's business information
ABC BOOKS LIMITED
10 John Street
London, United Kingdom WC1N 2EB
Terms of sale
Orders can be returned within 30 days of receipt.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to CitiRetail, Stevenage, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.