Knowledge Graph Engineering for LLMs (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 25.49
Quantity: 1 available
Add to basketItem description from seller
Paperback. Most AI systems today rely on unstructured data and approximate retrieval.And that is exactly where they fail.They miss context.They ignore relationships.They produce answers but not understanding.Knowledge Graph Engineering for LLMs is the starting point for building a new class of AI systems systems designed around structured knowledge, connected data, and relationship-aware intelligence.Instead of treating information as isolated text, this book teaches you how to model, connect, and organize data in ways that allow AI systems to understand how everything fits together.You will learn how to design and build knowledge graphs that integrate seamlessly with large language models giving your systems the ability to retrieve accurate context, reduce hallucinations, and generate more reliable outputs.Inside this book, you will learn how to: Design scalable knowledge graph schemas and ontologiesExtract structured knowledge from unstructured data using modern AI techniquesBuild and manage graph-based data systems for real-world applicationsQuery and traverse relationships to generate meaningful contextIntegrate knowledge graphs with LLMs for improved accuracy and reasoningCombine graph-based retrieval with vector search for hybrid intelligence systemsDesign Graph RAG pipelines that go beyond basic retrievalMore importantly, you will understand the engineering decisions behind these systems why they work, when to use them, and how to avoid the mistakes that cause most AI implementations to fail.This is not a theoretical introduction.It is a practical, system-focused guide that builds a solid foundation for advanced AI architectures preparing you for multi-hop reasoning, agentic workflows, and production-scale systems in the next volumes of the series.If you want to move beyond surface-level AI and build systems that are accurate, structured, and context-aware, this is where it begins.Go beyond text.Build systems that understand relationships. 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 # 9798172644740
- Title
- Knowledge Graph Engineering for LLMs (Paperback)
- Author
- Cyran Devereux
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798172644740
- Series
- Book 1 of 3: Mastering Knowledge Graph AI Systems
And that is exactly where they fail.
They miss context.
They ignore relationships.
They produce answers but not understanding.
Knowledge Graph Engineering for LLMs is the starting point for building a new class of AI systems systems designed around structured knowledge, connected data, and relationship-aware intelligence.
Instead of treating information as isolated text, this book teaches you how to model, connect, and organize data in ways that allow AI systems to understand how everything fits together.
You will learn how to design and build knowledge graphs that integrate seamlessly with large language models giving your systems the ability to retrieve accurate context, reduce hallucinations, and generate more reliable outputs.
Inside this book, you will learn how to:
- Design scalable knowledge graph schemas and ontologies
- Extract structured knowledge from unstructured data using modern AI techniques
- Build and manage graph-based data systems for real-world applications
- Query and traverse relationships to generate meaningful context
- Integrate knowledge graphs with LLMs for improved accuracy and reasoning
- Combine graph-based retrieval with vector search for hybrid intelligence systems
- Design Graph RAG pipelines that go beyond basic retrieval
This is not a theoretical introduction.
It is a practical, system-focused guide that builds a solid foundation for advanced AI architectures preparing you for multi-hop reasoning, agentic workflows, and production-scale systems in the next volumes of the series.
If you want to move beyond surface-level AI and build systems that are accurate, structured, and context-aware, this is where it begins.
Go beyond text.
Build systems that understand relationships.
"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.