Fullstack GraphQL Applications with React, Node.js, and Neo4j by William Lyon now available as free eBook!
Many books describe a single technology, but few show you step by step how to build an application using modern components.
Full Stack GraphQL Applications teaches you how to use GraphQL with React, Node.js, and Neo4j to build complex, data-intensive applications.
Download your free copy and follow along as we cover the main points and work through the exercises of each chapter of the book.
Additional Links:
- Neo4j GraphQL Library Overview
- Neo4j GraphQL Library Manual
- Companion Github Repository for the Book
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06:35
Knowledge Layer for Agentic Systems
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20:52
NODES AI 2026: Agentic GraphRAG: Autonomous Knowledge Graph Construction and Adaptive Retrieval
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20:53
Live from NODES AI 2026: From Data to Knowledge to Action – The Graph Intelligence Platform
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26:29
NODES AI Opening Keynote: Exploring Context Graphs: From Data to Decisions
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08:08
Neo4j & Graph-Powered AI
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08:22
Context Graphs – meetup and demo
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20:47
Building Context Graphs for AI Agents, Will Lyon, Neo4j
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00:00
Mastering Neo4j Within The Microsoft AI Ecosystem
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20:46
Context Graph and Process Knowledge, Jessica Talisman, Contextually LLC
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57:58
The Context Graph Panel with Will Lyon, Jessica Talisman, Dave Bennett, Yann Bilien and Emil Eifrem
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01:28:37
Neo4j Workshop: Crea una aplicación basada en Grafos desde cero (ESPAÑOL)
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01:00:42
Discover Neo4j AuraDB – S02E10: Creating your Production-Ready Aura Agents
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01:10:31
Going Meta S03E07 – Agent Skills For Creating and Using Ontologies
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23:29
Context graphs as the control plane for the agentic enterprise, Dave Bennett, Indykite
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01:58:13
Neo4j Workshop Virtuale: Crea un’App Basata su Grafi da Zero
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02:02:48
Road to NODES AI: End-to-End Neo4j Developer Workspace with MCP
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15:29
Automatic Ontologies: Build the Context Graph for Trustworthy AI Agents, Yann Bilien, Rippletide
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01:14
Get to know our Engineering team!
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01:05:33
Neo4j Live: NODES AI Agenda with Aura Agents
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01:07
Build Real-Time Customer 360 Applications with Neo4j Knowledge Graphs
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00:57
What Is a Graph Database?
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01:32
AI Memory and Founders Night Berlin
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01:26
AI Show & Tell Berlin 2025 – AI Agents, Startups & Developers
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03:28
Find Connected Insights with Graph Intelligence for Microsoft Fabric
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03:03
Create an AI Powered Graph Model with Graph Intelligence for Microsoft Fabric
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02:22
Create an Instance with Graph Intelligence for Microsoft Fabric
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04:00:23
Neo4j: Introduction to Graph Data Science – EMEA
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02:31:00
Context Graph: Decision Tracing for AI Agents
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35:08
NEW Neo4j Aura Agent: Production Ready, Ontology-Driven AI Agents
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41:30
Discover Neo4j AuraDB – S02E09: Improvements in Data Importing & Graph Querying
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06:13
Fika Interview with Vincent Mayers and Lutske De Leeuw
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05:45
Fika Interview with Jennifer Reif and Mattias Karlsson
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15:56
Fika Interview with Andreas Kollegger and Lize Raes
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10:10
Fika Interview with Andreas Kollegger and Johannes Bechberger
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14:59
Fika Interview with Andreas Kollegger and Ivar Grimstad
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34:33
Building Better Recommendations with Graph Analytics in Snowflake
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53:47
Going Meta S03E06 – Validating Neo4j Graphs with SHACL
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07:12
Neo4j DEMO Improving Customer Experience using Graphs
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57:08
Neo4j Live: Neo4j – The Definitive Guide
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44:31
Semiont: an Annotated Semantic Layer
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19:22
Context Graphs: The Missing Layer in the AI Stack
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41:43
Neo4j Live: Rethinking Data: A Data Scientist’s First Dive into GQLs
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05:35
Build Knowledge Graph Agents in Minutes with Neo4j Aura Agent
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03:18
Hands On With Context Graphs And Neo4j
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00:47
Meet Erik – Software Engineer @ Neo4j
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03:23
Infinigraph x Neo4j
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01:08:27
Neo4j Live: From Language to Logic – Why Graph AI Succeeds Where LLMs Fail
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01:00:00
Going Meta S03E05 – Neo4j Agent Memory
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55:39
Neo4j Live: Building Graph Powered Mobile Apps with Flutter and Neo4j
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00:57
Why Neo4j
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00:33
Get to know the Neo4j team
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00:40
Our Engineering team!
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01:02:00
Going Meta S03E04 – Evaluating the Quality of Ontologies
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38:54
Rethinking Line of Business Applications: Graphs & Cypher as an Alternative to RDBMS & SQL
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06:45
Neo4j MCP Servers: Your LLM’s Direct Link to Graph Data
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12:19
Use Langchain’s JavaScript Framework with Neo4j
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09:11
Get started with JavaScript and Graph
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10:14
Spring AI and LangChain4j Application Starter
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04:12
Vector Search vs GraphRAG
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03:08
Get started with Python and Graph
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00:47
Get to know the team
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02:08
Using Neo4j to Trace Supply Chain Dependencies
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00:44
Our Engineering team!
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01:05:45
Neo4j Live: Inside StrangerGraphs – Predicting Season 5 with Graph Intelligence
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34:26
From Documents to Dynamic Graphs: Ontology-Driven Clinical Graph Construction with Neo4j and UMLS
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15:15
Multiagent GenAI-Powered Oncology Research with GraphMedAI and Neo4j
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16:33
Leveraging Knowledge Graph and Imaging to Predict Gene–Disease Links in Cardiovascular Diseases
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14:48
Knowledge Graph of Drugs Data for Swiss Healthcare System
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57:07
Discover Neo4j AuraDB – S03E08: Aura GraphRAG Agents
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24:07
GDS Agent for Graph Algorithmic Reasoning
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01:00:08
Going Meta S03E03 – Ontologies, LLMs, Property Graphs – Do we really have a “Jaguar Problem”?
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26:06
Graph Analytics in Snowflake: Beyond Traditional SQL with Neo4j
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30:00
Mapping the Invisible Graph Powered Archaeology with Neo4j, LiDAR, and LLMs
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27:59
Agentic GraphRAG: Multi-Agent Knowledge Graph
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23:14
Improving Text2Cypher: Lessons from Schema Filtering and Hard Example Selection
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27:41
Beyond Vibe Coding: AI Agents for Technical Debt Detection with Neo4j
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31:37
Live Q&A with ABK and Michael Hunger
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19:18
Beyond Retrieval: Adding a Reasoning Layer to RAG with Neo4j
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30:18
Agentic AI for Enterprise Knowledge Graph Management
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20:43
From Spaghetti to Structure: Decoding Complex Codebases with Graphs and GenAI
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29:51
Making Your Knowledge Graph LLM-Ready: Quality Assessment and Design Strategies for GraphRAG
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28:42
Agentic GraphRAG: Multi-Agent Knowledge Graph Construction for Research Teams
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14:44
GraphQL Data APIs in Aura
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12:11
Revolutionizing Platform Engineering with AI Agents and GraphRAG
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14:04
Easy Jupyter Notebook Graph Visualization in 10 minutes
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30:47
Live Q&A with Emil Eifrém and Andreas Kollegger
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30:37
Crafting a Neo4j Knowledge Graph Semantic Reasoner for LPG-Based Ontologies with Python and CDC
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30:04
RushDB in Action: Building AI-Native Apps with Self-Aware Graphs
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28:17
Agentic Memory
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14:21
Using Microsoft Fabric Workload for AuraDB to Make Product Recommendations from OneLake Data
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28:12
Anonymization in the LLM Era: No Room for Compromise
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10:37
Taming the Evolution of Cypher: What Cypher Versions Mean for You
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28:46
From Warehouse to Wisdom: Activating Business Data with Neo4j
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10:05
Talk to Your Graph: A Practical Guide to Building a Dual-LLM Q&A System for a Fashion Graph
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28:12
Reconstructing the Past with Knowledge Graphs: Empowering Historians through Neo4j and GenAI
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15:15
Labor Market Landscape Modeling with Knowledge Graphs
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29:59
Live-Coding Graph-Native Agents: Neo4j AuraDB + Microsoft Agent Framework in Action
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14:05
Knowledge Graphs for Locations in the Humanitarian and Development Sector
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29:55
The Fastest Path To Building An Agent For Your Knowledge Graph Is By Using MCP