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

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

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Agentic AI vs. Generative AI: Why Agents Need Memory, Context, and Guardrails

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Native vs. Non-Native Graph Database

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Main hall of the East Building of the National Gallery of Art, Washington, DC.

Graph Databases Explained: How Relationships Change Everything

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Discover AuraDB Free: Week 32  –  Marvel API Data

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The New Normal: What I Learned (or Un-Learned) at GraphConnect 2022

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Graphs for Cybersecurity: Cyberthreats, Vulnerabilities, and Risk

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Achieve Unrivaled Speed and Scalability With Neo4j

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Neo4j Won Prestigious Data Breakthrough Award for AuraDB!

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Exploring Supervised Entity Resolution in Neo4j

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Advantages of Neo4j AuraDB Enterprise: Innovative and Trusted

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Check out some of the most standout media coverage of Neo4j in spring 2021.

Neo4j in the News – Spring Edition: Cloud, Graph Analytics, and the Next Decade of Graph

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