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

What’s invisible in your supply chain could cost you

7 min read

Agent tools: What they are, how they work, and how AI agents use them

13 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 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

Top 10 Use Cases: Anti-Money Laundering

1 min read
Check out this week's #GraphCast on the FinCEN Files

#GraphCast: Follow the Money, Untangling Complex Fraud Networks with Emil Eifrem

1 min read

Observable Graphs

3 min read

Language Buffet: Using Neo4j with GraalVM

14 min read

Making Sense of News, the Knowledge Graph Way

17 min read

Top 10 Use Cases: Knowledge Graphs

1 min read

Exploring Graphs with BearingPoint: The 5-Minute Interview

4 min read
Learn about Neo4j Aura Enterprise

Introducing Neo4j AuraDB Enterprise [GA Release]

5 min read

NeoDash: Build Neo4j Dashboards Without Writing Any Front-End Code

6 min read

Gram: A Data Graph Format

4 min read

Top 10 Use Cases: Real-Time Recommendations

1 min read
Discover how to use graph theory to determine the possible number of orders in which you can watch all the Marvel movies.

#GraphCast: Using Graph Theory to Find the Number of Marvel Watch Orders

1 min read