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April 19, 2026, 6:58 a.m.
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(Last updated: April 19, 2026, 6:59 a.m.)
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| Misquitta L. Neo4j. The Definitive Guide. Hands-On Recipes...2025.pdf | 23.2 MB |
| Code.zip | 29.7 MB |
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SOURCE: Misquitta L. Neo4j. The Definitive Guide. Hands-On Recipes...2025
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Textbook in PDF format Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: Make practical decisions in the proof of concept stage to maximize value Revisit and revise your decisions when transitioning to production Configure and implement observability features for in-production data graphs Integrate graph databases into existing enterprise architectures Graphs are everywhere you look: information is connected and doesn’t exist in isolation. Especially now, in the age of smart agentic systems, having a reliable and performant full-stack database engine that is built from the ground up to deal with richly connected information is critical to grounding your LLM’s language skills in trusted, contextual facts. Knowledge graphs are digital twins of your business that allow you to ask and answer more comprehensive questions and find the deeper insights hidden in your data. GraphRAG lets you use advanced retrieval augmented generation (RAG) patterns to make LLM output explainable and contextually grounded. This book will get you started on your graph journey, following the team at the fictional music company ElectricHarmony as they design, develop, tune, and productionize their graph-based recommendation engine. Besides explaining the practical applications of graph modeling, querying, and importing real-world data, they also show common stumbling blocks and how to address them properly. As we follow the team through their development cycles, we learn more about the power and possibilities of graphs and about the decisions that have to be made at each stage of development. The book covers the recently released LTS version of Neo4j 5 as a robust foundation for your production deployment while also hinting at upcoming features and capabilities of the current development version. It also equips you for what’s coming: larger sharded graphs, serverless graph computation, tight integrations with large data platforms, and a graph-based AI platform. Is This Book for You? Let’s start with who this book is not for, or not for yet: if you’re new to graphs and Neo4j, we recommend that you come back to this book once you’ve completed beginner courses or have used graphs for a couple of use cases. GraphAcademy is an excellent starting point. The content of this book is targeted at intermediate to advanced graph database and Neo4j users. If you’re a data engineer or experienced developer, you should already be able to ingest data into a graph and query it using Cypher. If you’re a data scientist, you should have experimented with a couple of graph Data Science algorithms. For architects, principal engineers, and operations engineers, you should have some experience integrating a graph database into, perhaps, a nonproduction or proof-of-concept environment and have set up, administered, and monitored the database. Essentially, if you’re working with Neo4j today and you’re already in production but have problems, or you’re planning your path to production, this book is for you
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