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.

Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic AI

Agentic RAG: What it is, how it works, and when to use it

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

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 the Paradise Papers are still turning up results.

#GraphCast: Follow the Money

Watch this webinar on how a graph platform can improve your company's digital asset management

Master Data Management

Graph-Powered Digital Asset Management with Neo4j [Video]

Learn how decision trees run in collaboration with Neo4j for fast, real-time results in this post

Running Decision Trees in Neo4j

AI and Graph Technology: 4 Ways Graphs Add Context

Check out this interview with David Bader of Georgia Tech.

Solving Real-World Problems: 5-Minute Interview with David Bader

Register now for Global GraphHack 2019.

NODES

Announcing NODES 2019 Global GraphHack

Learn why AIG has chosen Neo4j and graph visualization layers to reduce risk.

Graph Visualization

Picture This: How AIG Visualizes Propagation of Risk

Watch this webinar on Neo4j licensing to find out which version would most benefit your enterprise.

Graph Data Science

Neo4j Licensing: Which Edition is Right for You? [Video]

Learn how context makes artificial intelligence more reliable and trustworthy,

Toward AI Standards: Context Makes AI More Reliable and Trustworthy

Catch this week's GraphCast: David Allen explains how to deploy your graph database on GKE

Cypher & GQL

#GraphCast: How to Deploy Your Graph Database on GKE

Watch this webinar on graphs in banking, featuring use cases on fraud detection, IAM and MDM.

Graphs in Banking: Integration with AI & Machine Learning [Video]

Discover how graph technology makes AI more robust.

Toward AI Standards: Context Makes AI More Robust