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

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

17 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

Get start With Neo4j Aura Cloud Graph Database Network

Getting Started With Neo4j Aura: A Guide to the Leading Cloud Graph Database

3 min read

Introducing Neo4j Agent Skills

5 min read

Introducing Asynchronous I/O in Neo4j using io_uring

5 min read

SumoDB in Neo4j: Graph Analytics of Grand Sumo

5 min read

Building Stateful AI: Integrating Aura Agent Lifecycle with MCP and Persistent Memory

16 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