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

Agentic AI

Hands On With Context Graphs And Neo4j

Fighting Financial Fraud with Graph Technology

Fighting Financial Fraud with Graph Technology

New Cypher AI Procedures

What Is Context Engineering in AI Agents? A Practical Guide

Debugging With Aura Agent

Analyze a Complex Network in Neo4j With User-Defined Functions

Model Context Protocol (MCP)

GenAI

What Is Model Context Protocol (MCP)?

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s Invisible in Your Supply Chain Could Cost You

We’re honored to welcome Kapil Hetamsaria as Neo4j’s new Chief Business Officer for Strategic Partnerships and Alliances.

News

Welcoming Kapil Hetamsaria, Our Chief Business Officer for Strategic Partnerships and Alliances

Developer

Neo4j Sink Connector for Confluent Available as Managed Connector on Confluent Cloud

DevSecOps With Graph for Valuable Insights

NODES 2025 — A Recap in 10 Videos