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.

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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

From Law Enforcement to Graph Technology

Graph Data Science

From Law Enforcement to Graph Technology: An Unlikely Relationship

Learn how law enforcement officials are effectively using a POLE data model with graph technology

Graph Technology Is in the POLE Position to Help Law Enforcement [Video]

What Is GraphRAG?

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How Graph and AI Take Us from Dashboards to Continuous Decisions

Cypher and the Cipher Manuscript

Conquering Neo4j Errors: GQLSTATUS Code to the Rescue

US government building

From Data Chaos to Clarity: How Connected Data Can Improve US Government Decision-Making

Agentic AI

What Is an AI Agent?

From Legal Documents to Knowledge Graphs

Using GraphQL Middleware With Neo4j GraphQL

How Graph-Powered Supply Chain Improves Sustainability

Mastering Fraud Detection With Temporal Graph Modeling