• Going Meta S03E08 – a Series on Semantics, Knowledge Graphs and All Things AI

  • NODES AI 2026 – Agentic GraphRAG: Autonomous Knowledge Graph Construction and Adaptive Retrieval

  • NODES AI 2026 – Semiont: A Graph Based, AI Native Wiki and Annotator

  • NODES AI 2026 – MemMachine: Agents That Learn, Memory That Lasts

  • NODES AI 2026 – Ghost-busting with Neo4j Graph Analytics in Snowflake

  • NODES AI 2026 – The Searchable Grid: Building a GraphRAG-Powered Digital Twin for Real-Time Insights

  • NODES AI 2026 – Neurosymbolic Architecture in Production with Neo4j, GDS, Node2Vec & LLM Grounding

  • NODES AI 2026 – EventKernel: Multi-Hop Reasoning and GraphRAG for AI-Powered Event Intelligence

  • NODES AI 2026 – How to Build the Next Wave of Graph-Based Agentic AI

  • NODES AI 2026 – Complex Querying of Cyber Knowledge Graph for Robust Cyber Defense

  • NODES AI 2026 – From AI Workflows to Graph-Native Reasoning: A Dify Plugin for Querying Neo4j

  • NODES AI 2026 – The Future of Enterprise AI Is Context Infrastructure, Not Better Models

  • NODES AI 2026 – Temporal Substrate Architecture: Building Persistent Identity for Autonomous Agents

  • NODES AI 2026 – Agentic AI Governance: Data Foundations & Real-Time Policy Enforcement

  • NODES AI 2026 – Building Smarter Mobile Apps with On-device AI Agents & GraphRAG

  • NODES AI 2026 – Beyond Recall: Creating Agentic Personas with Persistent, Evolving Memory

  • NODES AI 2026 – Building a Customer-Intelligence Brain: How GraphRAG Turns Data into Decisions

  • NODES AI 2026: Lakehouse + Graph: Delta Lake, Unity Catalog and Neo4j for Governed AI Pipelines

  • NODES AI 2026 – Fusing NLP and Graph: Building a Conversational Agent for Enriched Financial Data

  • NODES AI 2026: Graph Theory and Games: A Case Study on New York Times Connections

  • NODES AI 2026 – Agentic AI with Knowledge Graphs on the JVM: A Music Graph in Practice

  • NODES AI 2026 – Graph-Powered Storyworlds: Using Neo4j To Keep 1M+ Word LitRPG Epics Coherent w/ AI

  • NODES AI 2026 – Infinigraph: Vector Data at Scale

  • NODES AI 2026 – Multi-Agent Shared Graph Memory: Building Collective Knowledge for Agents

  • NODES AI 2026 – The AI Agent Memory Landscape

  • NODES AI 2026 – Building a Cross-Border KG: AI Powered Entity Resolution & Risk Detection

  • NODES AI 2026 – Graph-Powered Compliance: Building Intelligent Regulatory Mapping with AI and Neo4j

  • NODES AI 2026 – The GraphRAG System That Asks Back: Intelligent Probing with Contextual Answers

  • NODES AI 2026 – Smarter MCP Servers: Using a Graph to Solve the Context Window Problem

  • NODES AI 2026 – Building Secure Services with AI Agents: Patterns From Real-World Engineering

  • NODES AI 2026 – Aura Agents in Action

  • NODES AI 2026 – Build Intelligent AI Agents With Context Engineering

  • NODES AI 2026 – Agent Reasoning with Graph World Models

  • NODES AI 2026 – Adaptive GraphRAG: A Framework for Knowledge Graph Quality, Consistency, Evolution

  • Emil Eifrem at HumanX 2026

  • NODES AI Opening Keynote: Exploring Context Graphs: From Data to Decisions – Extended Version

  • How Knowledge Graphs Help You Build a More Resilient Supply Chain

  • Knowledge Layer for Agentic Systems

  • NODES AI 2026: Agentic GraphRAG: Autonomous Knowledge Graph Construction and Adaptive Retrieval

  • Live from NODES AI 2026: From Data to Knowledge to Action – The Graph Intelligence Platform

  • NODES AI 2026 Opening Keynote: Exploring Context Graphs: From Data to Decisions

  • Neo4j & Graph-Powered AI

  • Context Graphs – meetup and demo

  • Building Context Graphs for AI Agents, Will Lyon, Neo4j

  • Mastering Neo4j Within The Microsoft AI Ecosystem

  • Context Graph and Process Knowledge, Jessica Talisman, Contextually LLC

  • The Context Graph Panel with Will Lyon, Jessica Talisman, Dave Bennett, Yann Bilien and Emil Eifrem

  • Neo4j Workshop: Crea una aplicación basada en Grafos desde cero (ESPAÑOL)

  • Discover Neo4j AuraDB – S02E10: Creating your Production-Ready Aura Agents

  • Going Meta S03E07 – Agent Skills For Creating and Using Ontologies

  • ​Context graphs as the control plane for the agentic enterprise, Dave Bennett, Indykite

  • Neo4j Workshop Virtuale: Crea un’App Basata su Grafi da Zero

  • Road to NODES AI: End-to-End Neo4j Developer Workspace with MCP

  • ​Automatic Ontologies: Build the Context Graph for Trustworthy AI Agents, Yann Bilien, Rippletide

  • Get to know our Engineering team!

  • Neo4j Live: NODES AI Agenda with Aura Agents

  • Build Real-Time Customer 360 Applications with Neo4j Knowledge Graphs

  • What Is a Graph Database?

  • AI Memory and Founders Night Berlin

  • AI Show & Tell Berlin 2025 – AI Agents, Startups & Developers

  • Find Connected Insights with Graph Intelligence for Microsoft Fabric

  • Create an AI Powered Graph Model with Graph Intelligence for Microsoft Fabric

  • Create an Instance with Graph Intelligence for Microsoft Fabric

  • Neo4j: Introduction to Graph Data Science – EMEA

  • Context Graph: Decision Tracing for AI Agents

  • NEW Neo4j Aura Agent: Production Ready, Ontology-Driven AI Agents

  • Discover Neo4j AuraDB – S02E09: Improvements in Data Importing & Graph Querying

  • Fika Interview with Vincent Mayers and Lutske De Leeuw

  • Fika Interview with Jennifer Reif and Mattias Karlsson

  • Fika Interview with Andreas Kollegger and Lize Raes

  • Fika Interview with Andreas Kollegger and Johannes Bechberger

  • Fika Interview with Andreas Kollegger and Ivar Grimstad

  • Building Better Recommendations with Graph Analytics in Snowflake

  • Going Meta S03E06 – Validating Neo4j Graphs with SHACL

  • Neo4j DEMO Improving Customer Experience using Graphs

  • Neo4j Live: Neo4j – The Definitive Guide

  • Semiont: an Annotated Semantic Layer

  • Context Graphs: The Missing Layer in the AI Stack

  • Neo4j Live: Rethinking Data: A Data Scientist’s First Dive into GQLs

  • Build Knowledge Graph Agents in Minutes with Neo4j Aura Agent

  • Hands On With Context Graphs And Neo4j

  • Meet Erik – Software Engineer @ Neo4j

  • Infinigraph x Neo4j

  • Neo4j Live: From Language to Logic – Why Graph AI Succeeds Where LLMs Fail

  • Going Meta S03E05 – Neo4j Agent Memory

  • Neo4j Live: Building Graph Powered Mobile Apps with Flutter and Neo4j

  • Why Neo4j

  • Get to know the Neo4j team

  • Our Engineering team!

  • Going Meta S03E04 – Evaluating the Quality of Ontologies

  • Rethinking Line of Business Applications: Graphs & Cypher as an Alternative to RDBMS & SQL

  • Neo4j MCP Servers: Your LLM’s Direct Link to Graph Data

  • Use Langchain’s JavaScript Framework with Neo4j

  • Get started with JavaScript and Graph

  • Spring AI and LangChain4j Application Starter

  • Vector Search vs GraphRAG

  • Get started with Python and Graph

  • Get to know the team

  • Using Neo4j to Trace Supply Chain Dependencies