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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

Check out this interview on Graph Database For Dummies.

Graph Data Science

5-minute interview: Graph databases for Dummies with Dr. Jim Webber and Rik Van Bruggen

Enroll in this course on graph algorithms today.

New GraphAcademy course: Introduction to graph algorithms in Neo4j 4.0

Learn about graph data science

Graph Data Science

Insider guide to graph data science: First, a brief overview

Check out this video talking about graphs in life sciences.

Healthcare

GraphCast: Graphs in life sciences – the cure for connecting complex data

Check out featured speakers to present at NODES 2020.

NODES

Top 10 speakers to look out for at NODES 2020

Learn how to fix your microservices architecture with graph analysis.

Fixing your microservices architecture using graph analysis

Connecting the molecules: 5-minute interview with Matthew Sellwood

See what community partners are looking forward to for NODES 2020.

NODES

How the global tech community is coming together for NODES 2020

Catch this week's GraphCast: FinCEN Files – How Banks Move Dirty Money around the World

GraphCast: FinCEN files – how banks move dirty money around the world

Learn how Elsevier employs Neo4j for COVID-19 research.

Elsevier boosts global COVID-19 research with Neo4j

Learn about chaos engineering with Neo4j.

NODES

Chaos engineering with Neo4j

ICIJ used Neo4j to analyze the FinCEN Files data, uncovering a vast network of money laundering.

Analyzing the FinCEN files with Neo4j