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.

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

See All Articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See All Articles

Philip Rathle

Chief Technology Officer, Neo4j

See All Articles

Most Recent

Simplify Modern Application Development With GraphQL on Neo4j AuraDB

Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development.

Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development

Accelerate Neo4j App Development With Low-Code Keymaker Framework

GraphQL Development Best Practices

Streamline Your API Development With Neo4j GraphQL, and StepZen

DXC Career Navigator: Data Driven Employee Career Development and Engagement

Clone an Instance in Aura to Optimize Your Development Cycles

Brightening Up Your Development Experience with Neo4j DevTools

Graph-Powered Recommendations: A Framework for Faster Development

Learn What’s New in Structr 2.0 for Faster, More Flexible Application Development

Graph Database

Introducing Structr 2.0: Faster, More Flexible App Development

Neo4j development news

News

Neo4j development news

Graph Database

Capgemini Turns Data and AI Into Connected Intelligence With Neo4j and Databricks