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Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Welcome, GraphAware

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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

Read this interview on graph technology with Dr. Alessandro Negro of GraphAware.

Graph Data Science

How to know what you know: 5-minute interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

News

Please welcome Chandra Rangan, Neo4j’s chief marketing officer!

Catch this week's 5-minute interview with David Meza, Chief Knowledge Architect at NASA

The 5-minute interview: David Meza, chief knowledge architect, NASA

Predictions for 2023: What’s on the horizon for graph technology?

Jim Webber with Matt Cloyd: The power of graph in conflict resolution

Check out this Q&A with the author of Graph-Powered Machine Learning.

Machine learning

5-minute interview: Graph-powered machine learning with Dr. Alessandro Negro

Learn everything you need to know about Neo4j 4.0 graph database.

Introducing Neo4j graph database 4.0 [GA release]

Catch this week's GraphCast: An introduction to the most insightful episodes of the Jim Webber Show

GraphCast: The Jim Webber show

The ethics of generative AI: Understanding the principles and risks

Cybersecurity: To graph or not to graph. That is the query.

Jim Webber with Dr. Edgar Osuna: Using graphs to take down fraudsters

Using knowledge graphs for digital twin.

Transforming innovation: Digital Twin for the win!