Neo4j Blog

From data to intelligence: Why every enterprise needs an AI knowledge layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

The data strategy that makes truly personalized customer experiences possible

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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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 Future of the Intelligent Application: Business Agility

Why Leading Telecoms Use Neo4j: The 5-Minute Interview with Jesús Barrasa, Global Director of Telecoms at Neo4j

Learn more about graphs and machine learning.

Machine Learning Algorithms

The Future of the Intelligent Application: Granular Security

This week's GraphCast features Responsible AI and ethical development and application of technology.

#GraphCast: Responsible AI

Learn how to run Cypher to analyze your data inconsistencies in Neo4j.

Cypher & GQL

Run Cypher to Analyze Neo4j Graph Database Inconsistencies

Learn about GraphQL to aid digital identity and access management.

Using GraphQL for Digital Identity & Access Management

Cypher & GQL

The Future of the Intelligent Application: Scalability for Unlimited Growth

Find out more about the highlights of the GraphConnect 2020 two-day speaker agenda.

Graph Data Science

GraphConnect 2020 Agenda: Everything You Need to Know

Learn how Convergys uses Neo4j for GDPR.

Leveraging Graphs for GDPR at Convergys

Learn how your Neo4j project could be recognized with a Graphie Award at GraphConnect 2020.

The Graphie Awards: What They Are & How to Win One at GraphConnect 2020

The Future of the Intelligent Application: Why Graph Technology Is Key