Watch Sessions Missed NODES 2025 on November 6? All the graph action is now on YouTube. Every session from our AI Engineering, App Dev, Data Intelligence and Knowledge Graphs tracks is being uploaded to the official NODES 2025 playlist, so you’ll be able to watch them all on demand.
“Stranger Things” - The Gate to True Sight With Graph Intelligence Stephen Chin invites us to discover HopperGraph, a Neo4j-powered “Stranger Things” knowledge graph built from 150k Reddit fan theories (234k nodes, 1.5M relationships) that lets you explore character connections and surface graph-driven predictions for Season 5 – including the fate of Hawkins, Eleven and Will. Use the Stranger Graphs experience to navigate the Upside Down like a graph and test your own finale theories against what the data suggests.
Using Claude Skills with Neo4j
This article from Tomaz Bratanic explores how to extend Claude with “Skills” modules to enhance its interaction with Neo4j: teaching Claude to generate up-to-date Cypher queries and invoke Neo4j via the Model Context Protocol (MCP). The method enhances LLM-driven graph workflows by making them more accurate, scalable, and context-aware when working with graph databases.
UNLOCK the Power of Graph Agents with Neo4j and n8n
In this video by Daniel Walsh, we are shown how to build a Neo4j-backed knowledge graph and connect it to an n8n AI agent using Neo4j MCP and Claude Desktop – no Cypher is required. The video walks through two concrete graph agent use cases: a Customer 360 graph and a document-structure graph for smarter, more agentic retrieval of complex legal documents.
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