Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

19 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Context graph diagram illustrating decision traces for AI agents

What are decision traces in a context graph? How they reveal agentic reasoning

10 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

8 reasons you should attend NODES 2022

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Neo4j AuraDB Enterprise early access program now available on Microsoft Azure

2 min read

NODES 2022: Tomaz Bratanic and the rise of knowledge graph embedding

7 min read

Scale new heights with Neo4j 5 graph database

5 min read

Easily run, scalable, fault tolerant graph databases with Neo4j autonomous clustering

6 min read

Using Neo4j Fabric for scalable fraud detection on graphs

3 min read

Autumn is bloom-ing with new visualization features

3 min read

Are economists right or wrong? Connecting patent data in Neo4j

5 min read

What is graph embedding? How to solve bigger problems at scale

20 min read

London’s traffic operations digital twin: The 5-minute interview with Andy Emmonds

3 min read

A timely update to the Bolt protocol

6 min read

Announcing Graph Feature Engineering with Neo4j and Amazon SageMaker

3 min read