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

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

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

SumoDB in Neo4j: Graph Analytics of Grand Sumo

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Building stateful AI: Integrating Aura Agent lifecycle with MCP and persistent memory

15 min read

Precise Economic Policy in a World of Chaos

13 min read
GraphAcademy content is moved into Neo4j Aura, and an Aura Agent used to provide MCP server access to VS Code, Cursor, and Claude agents.

Can I use Aura Agents to create an MCP enabled Teacher?

8 min read

From Agents to Analytics: What’s New from Neo4j on Google Cloud

5 min read

Integrating Neo4j with Google Genkit: A Practical Guide

21 min read

Connected Intelligence: Scaling Graph-Powered Reasoning Across the AI Ecosystem

6 min read

From Identity Vacuum to Identity Driven Access Control: Securing LLM Agents in the Enterprise

14 min read

“Boost” the power of your AI agents: Integrating Neo4j MCP with Laravel

7 min read

Amnesia Is All You Need

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Neo4j Google Cloud Marketplace Listings

2 min read

Build AI Agents That Make Better Decisions on GCP with Neo4j

21 min read