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Agentic AI

The Enterprise Knowledge Layer

A manifesto for context-rich enterprise AI

Chart of the Enterprise Knowledge Layer spanning ontologies, data, and memory.

Welcome, GraphAware

Agentic AI

How AI decision-making works and how to improve it

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

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

RDF vs. Knowledge Graph: Choosing the Right Approach for Implementing Knowledge Graphs.

Knowledge graph

RDF vs. property graphs: Choosing the right approach for implementing a knowledge graph

Neo4j’s Emil Eifrem and FirstMark’s Matt Turck on the graph database explosion

An explosion of use cases: 5-minute interview with Rik Van Bruggen

Learn more about GraphConnect 2020 call for papers.

GraphConnect 2020: Call for papers closing November 15

Learn how law enforcement officials are effectively using a POLE data model with graph technology

Graph technology is in the POLE position to help law enforcement [Video]

Learn about the advantages of a metadata repository backed by a graph database in this UW case study

Developer

Advantages of a graph-based metadata repository [Community Post]

Watch Clark Richey’s Presentation on His Database Decision Path that Led FactGem to Neo4j

From good to graph: Choosing the right database

Learn about Clark Richey’s Journey to Graph Databases and Why He Chose Neo4j for FactGem

Graph database

From good to graph: Choosing the right database [GraphConnect preview]

Graph database

Top ten reasons for choosing Neo4j

Graph database

Managing hires and positions with Cypher

Developer

Choosing Neo4j

Introducing MCP for Aura: Hosted MCP, built into every Aura instance