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

Learn how to run Neo4j across cloud platforms.

AuraDB

How to run Neo4j across cloud platforms

Learn the definition of a graph (vs. a chart), including nodes, relationships, graph theory and more

Graph databases for beginners: Wait, what do you mean by “graph”?

Catch this week's GraphCast: The Graphistania podcast returns with a new focus on the Neo4j community

Graph Data Science

GraphCast: The Graphistania podcast is back!

Learn about demographics master data at Citigroup.

Demographics master data at Citigroup

Graphs on GPUs: 5-minute interview with Saul Rosales

Learn more about graphing space and time with Neo4j.

Healthcare

Graphing space and time

Watch this discussion on graph databases.

Graph Data Science

GraphCast: “All graph databases are not created equal”

Learn how Neo4j is helping to crack down on the Opioid Crisis.

Graph theory takes on the opioid epidemic

Learn about responsible AI and gain practical tips.

Responsible AI: The critical need for context (and practical tips)

Graph hyper-growth ahead: 5-minute interview with Kyle McNamara

A Conversation with Graphs by Tatianna Hartinger of Cognitiva

A conversation with graphs

Discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.

Reveal hidden patterns in healthcare data: Graph analytics and the opioid crisis