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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

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?

Welcome, GraphAware

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

Learn about Neo4j Aura Enterprise

Introducing Neo4j AuraDB Enterprise [GA release]

NeoDash: Build Neo4j dashboards without writing any front-end code

Gram: A data graph format

Real-time recommendations

Top 10 use cases: Real-time recommendations

Discover how to use graph theory to determine the possible number of orders in which you can watch all the Marvel movies.

Graph Data Science

GraphCast: Using graph theory to find the number of Marvel watch orders

Neerav Vyas, Realogy, discusses the value of integrating graph databases into their lead conversion process.

Machine learning

Driving innovation and powering advanced analytics with Neo4j

Fraud detection

Top 10 graph database use cases: Fraud detection

Energy leader Enel X uses Neo4j for IoT

Knowledge graph

Mapping IoT to the graph: 5-minute interview with Per Gyllstrom

Where’s my Neo4j Cypher query results?

Check out the latest free online training courses to master Neo4j 4.x and become a certified graph database professional.

Announcing new introduction to Neo4j 4.x online training courses!

Machine learning

Graph data platforms: Collections vs. connections

Discover the power of graph databases in this GOTO Book Club episode featuring Neo4j's Jim Webber.

News

GraphCast: Discover the power of graph databases (GOTO Book Club)