Neo4j blog

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

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

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?

Featured voices

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

Graph database

GraphSummit 2023: 3 things to expect this year

Standard Chartered: Threat intelligence using knowledge graphs

How DBS connect knowledge with a knowledge quotient framework

Financial services

How banks in ANZ use data-driven insights to optimize DevOps and cloud migration

Knowledge graph

Telstra’s Neo4j Graphie Award for excellence in data discovery: Why Neo4j?

Graph visualization

Using Neo4j for spatial visualization with productivity app Grapho

Network observability using knowledge graphs at Commonwealth Bank Australia

DXC Career Navigator: Data driven employee career development and engagement

Cypher code-golf completion: Hackathon winners announced

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

Healthcare

Combating disease using graphs: The 5-minute interview with Henrik Enquist