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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

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

NODES

Jim Webber with Matthias Sieber: Teaching Neo4j to make the world a better place

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

Jim Webber with Asurion’s Julie Fisher on her singular path to graph

Check out this interview on Graph Database For Dummies.

Graph Data Science

5-minute interview: Graph databases for Dummies with Dr. Jim Webber and Rik Van Bruggen

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

GraphCast: The Jim Webber show

Graph database

Watch Jim Webber at GraphConnect SF 2013

Graph database

Graph processing v. graph databases – Jim Webber

Jim Webber: Scaling Neo4j with cache sharding and Neo4j HA

Graph database

Jim Webber: Scaling Neo4j with cache sharding and Neo4j HA

Jim Webber: On sharding graph databases

Graph database

Jim Webber: On sharding graph databases

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

Discover the power of graph databases in this GOTO Book Club episode featuring Neo4j's Jim Webber.

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GraphCast: Discover the power of graph databases (GOTO Book Club)