Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

5 min read

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

6 min read

Context graphs: Why AI agents need three types of memory

8 min read

What is AI-ready data? How a knowledge layer gets you there

15 min read

Emil Eifrem

CEO & Founder, Neo4j

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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

1 of 3: The difference between a graph, a knowledge graph, and a context graph

4 min read

2 of 3: Why graphs, knowledge graphs, and context graphs matter to customers

3 min read

3 of 3: The graph ecosystem: Bringing connected context to enterprise AI

4 min read

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

13 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

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

6 min read

Build AI agents that make better decisions on GCP with Neo4j

21 min read
iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Best tools for context engineering in agentic AI systems

12 min read
Agentic architecture is the system design that enables agentic systems to work efficiently towards the goal.

What is agentic AI architecture? Common patterns and when to use them

10 min read

What are agentic workflows? Design patterns & when to use them

12 min read

Useful AI agent case studies: What actually works in production

10 min read
A gemlike image of a whole Dobble graph model.

The math and the graph behind a popular match game

9 min read