Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read

Neo4j joins forces with IBM to bring graph intelligence to enterprise AI customers

5 min read
MIT Technology Review Insights report cover, Connecting AI agents to enterprise knowledge

MIT Technology Review Insights research explains why 13% of companies have a 61% AI success rate

6 min read
Agentic GraphRAG illustration showing an agent reasoning loop connected to a knowledge graph

Agentic GraphRAG: How does an AI agent use a knowledge graph?

9 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

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

Data loading into Neo4j: What’s new in Data Importer?

3 min read