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.

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

How Graph Intelligence Drives Breakthroughs in Science and Society

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

Best Tools for Context Engineering in Agentic AI Systems

12 min read

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

9 min read

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

Finding Hidden Bottlenecks in Flight Networks with Aura Graph Analytics on Databricks

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Why Healthcare CIOs Can’t Afford to Scale AI Without a Knowledge Graph Foundation

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What Is GraphRAG?

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Beyond the Lakehouse: Why Your Microsoft Fabric Strategy Needs Neo4j Graph Intelligence

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GRAPH TYPE – Schema enforcement made easy (Preview)

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Discover Rich, Graph-Powered Insights in Your BigQuery Data

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A gemlike image of a whole Dobble graph model.

The Math and the Graph Behind a Popular Match Game

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Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect Fraud Faster With a Transaction Graph

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Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

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Meet Lenny’s Memory: Building Context Graphs for AI Agents

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Boundary Graph: Exploring the IPL Through the Lens of Graphs

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Empowering Microsoft Agent Framework with Neo4j Knowledge Graphs

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