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

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

AuraDB

New security capabilities in Neo4j Aura Enterprise cloud platform

Connected data for compliance: The 5-minute interview with Miguel Aguado

News

Neo4j achieves AWS Data and Analytics Competency status

DXC Career Navigator: Data driven employee career development and engagement

Main hall of the East Building of the National Gallery of Art, Washington, DC.

Graph databases explained: How relationships change everything

Road to NODES workshop series: Oct 19 – Nov 2

Healthcare

Combating disease using graphs: The 5-minute interview with Henrik Enquist

Loading data into Neo4j with Google Cloud Dataflow

GraphQL

New book: Full Stack GraphQL applications (download for free!)

NODES 2022 speaker highlights

A power user’s experience on using graph databases to drive better decision making

A machine learning innovation in predictive analytics