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
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

Introducing Neo4j GraphAware Financial Crime Intelligence

8 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

NODES contest: Learning is better with friends!

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4 best practices for introducing your teams to Graph Data Science

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NODES 2022

NODES: A 24-hour virtual conference for the global community

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Solve problems virtually in Neo4j

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Creating super-charged Neo4j dashboards with NeoDash 2.1

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Announcing Neo4j AuraDS Enterprise and Neo4j Graph Data Science 2.2

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New security capabilities in Neo4j Aura Enterprise cloud platform

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Connected data for compliance: The 5-minute interview with Miguel Aguado

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Neo4j achieves AWS Data and Analytics Competency status

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DXC Career Navigator: Data driven employee career development and engagement

8 min read
Main hall of the East Building of the National Gallery of Art, Washington, DC.

Graph databases explained: How relationships change everything

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Road to NODES workshop series: Oct 19 – Nov 2

2 min read