Knowledge Graphs and LLMs in Action: Build AI systems using connected data

Price: $59.99 - $56.11
(as of May 16,2026 01:52:10 UTC – Details)

Title: Knowledge Graphs and LLMs in Action: Build AI systems using connected data

Publisher: Manning

Publication Date: November 18, 2025

Language: English

Print Length: 472 pages

ISBN-10: 1633439895

ISBN-13: 978-1633439894

Item Weight: 1.12 pounds

Dimensions: 7.38 x 1.1 x 9.25 inches

Part of Series: In Action

Best Sellers Rank: #102,111 in Books

Customer Reviews: 4.6 out of 5 stars (19)

About the Book:
"Knowledge Graphs and LLMs in Action" is a practical guide that demonstrates how to combine structured knowledge graphs with Large Language Models (LLMs) to enhance context, reasoning, and explainability in AI systems. The book offers hands-on techniques, code snippets, and best practices for labeling data, modeling graphs, and linking to LLM outputs. By leveraging the synergy between knowledge graphs and LLMs, readers can address common weaknesses in LLMs such as hallucinations and lack of factual grounding.

Features:

• Provides a practical guide to building AI systems using connected data
• Demonstrates how to combine structured knowledge graphs with Large Language Models (LLMs)
• Offers hands-on techniques, code snippets, and best practices
• Helps mitigate common LLM weaknesses by anchoring outputs in relational structure
• Suitable for readers with intermediate Python skills and some knowledge of machine learning

  Pros:

• Comprehensive coverage of knowledge graphs and LLMs
• Practical examples and code snippets for implementation
• Offers solutions to common LLM weaknesses
• Written by experts in the field
• Includes best practices for building AI systems

  Cons:

• Requires intermediate Python skills and knowledge of machine learning
• May be challenging for beginners in AI and data science

  Overall, "Knowledge Graphs and LLMs in Action" is a valuable resource for AI developers, data scientists, and machine learning engineers looking to enhance their systems with connected data and LLMs.