Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most recent

The daily life of Twitter troll

NODES

Revealing the life of a Twitter troll with visual timeline analytics

Patrick Pichette Joins Neo4j Board of Directors

News

Please Welcome Patrick Pichette – Inovia Partner, Former CFO at Google, and Current Twitter Board Member – to the Neo4j Board

Learn how Russian trolls used Twitter to influence U.S. elections and how Neo4j was used to detect them

The story behind Russian Twitter trolls: How they got away with looking human – and how to catch them in the future

Learn how to analyze the impact of a Twitter hashtag using Neo4j, Cypher, Python and JavaScript

Analyzing Twitter hashtag impact using Neo4j, Python & JavaScript

Graph database

GraphConnect: A Twitter recap

Neo4j Twitter Graph Visualization

OSCON Twitter graph

Graph visualization

#ShowMeYourGraph Twitter contest

Neo4j meetup at Twitter HQ Wed Mar 31 (new date & time)

Graph database

Neo4j meetup at Twitter HQ Wed Mar 31 (new date & time)

Building stateful AI: Integrating Aura Agent lifecycle with MCP and persistent memory

Solve hard graph problems with Cypher 25

Is traditional SaaS behind us? The Graph + GenAI revolution

What is supply chain management?

Supply chain & logistics

What is supply chain management? A guide to optimizing SCM