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

Learn how Nordstorm used Neo4j to personlize recommendations.

Personalized Product Recommendations at Nordstrom

Learn how Neo4j is used for product recommendations and personalized promotions in the retail sector

Real-Time Recommendations

Retail & Neo4j: Personalized Promotion & Product Recommendations

Build Better Recommendations With Aura Graph Analytics

Beyond Vector Search: Unleashing the Power of GraphRAG for Smarter Recommendations

Neo4j Graphs, Acceleration Frameworks, and Recommendations: A Winning Trio

Graph Algorithms for Community Detection & Recommendations

Graph-Powered Recommendations: Developing and Deploying Recommendations

Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

Graph-Powered Recommendations: A Framework for Faster Development

Graph-Powered Recommendations: Instantly Evaluating Relationships

Graph-Powered Recommendations: How Smart Recommendations Drive Value

Learn how to innovate on real-time recommendations with Neo4j.

5 Ways to Innovate and Delight Users with Real-Time Recommendations