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.

See All Articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See All Articles

Philip Rathle

Chief Technology Officer, Neo4j

See All Articles

Most Recent

Developers.Zed: The LinkedIn for Developers in Zambia

5 min read

Can’t Stop, Won’t Stop: Graph Data Science 2.1 Is Better Than Ever

4 min read

Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science

2 min read

Graph Data Science for Supply Chains – Part 1: Getting Started with Neo4j GDS and Bloom

17 min read

Pride at Neo4j: Thirty Years of Hope

3 min read

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

12 min read

7 Reasons You Should Go to GraphSummit

7 min read

Graph Data Science on Google Cloud: Neo4j AuraDS and Vertex AI

6 min read

Do You Fika? Swedish Coffee Breaks from a Frenchie Living in London

5 min read

1 Year Anniversary: Webinars, Demos, Connections – Oh My!

5 min read

GraphConnect 2022: Product Announcements!

6 min read

GraphConnect 2022: Don’t Miss the DevZone!

2 min read