GraphRAG: The Definitive Guide
Patterns and Techniques for GenAI Knowledge Graph Retrieval
$118.60
- Paperback
300 pages
- Release Date
31 December 2026
Summary
As powerful as large language models (LLMs) have become, they often fail to deliver accurate, explainable results due to their limited access to reliable data. GraphRAG is the next evolution of the foundational retrieval-augmented generation (RAG) architecture, combining the structured intelligence of knowledge graphs with the power of LLMs to deliver deeper, more trustworthy outputs. This book gives you the tools, skills, and confidence to make sense of this complex approach.
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Book Details
| ISBN-13: | 9798341630154 |
|---|---|
| Author: | Stephen Chin, Michael Hunger, Jesús Barrasa |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 31 December 2026 |
| Dimensions: | 178mm x 232mm |
Stephen Chin
Stephen Chin
Stephen Chin is the VP of Developer Relations at Neo4j. He is a member of the LF AI & Data Foundation and Open AI Alliance, and the author of several titles with O’Reilly, Apress, and McGraw Hill. Stephen has keynoted numerous conferences worldwide, including AI DevSummit, Devoxx, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and Open Source India. An avid motorcyclist, he has conducted evangelism tours in Europe, Japan, and Brazil, interviewing developers in their environments. When not traveling, he enjoys teaching children AI, embedded systems, and robot programming alongside his daughters.
Michael Hunger
Michael Hunger has been a passionate software developer for over 35 years, with the last 15 years dedicated to the open-source Neo4j graph database, where he has held various roles, most recently leading Product Innovation and Developer Product Strategy. He has a particular fondness for graph-related projects, users, and contributors. His current focus is on generative AI, GraphRAG, cloud integrations, and developer experience. As a developer, Michael enjoys many aspects of programming languages, continuously learning new things, participating in ambitious open-source projects, and contributing to software and data-related books and articles. He has spoken at numerous conferences and helped organize several. His contributions to the Java Community have earned him a place in the Java Champions program. Michael also dedicates his time to helping children learn to program by running weekly girls-only coding classes at local schools.
Dr. Jesús Barrasa
Dr. Jesús Barrasa is the Field CTO for AI at Neo4j, where he collaborates with organizations to integrate the capabilities of LLMs with Knowledge Graphs. He is a co-author of “Building Knowledge Graphs” (O’Reilly 2023) and co-host of the “Going Meta” live webcast. Jesús holds a Ph.D. in Artificial Intelligence/Knowledge Representation and is an active thought leader in the Knowledge Graph and AI space.
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