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

Developer

Analyzing Roland Garros and US Open tennis tournaments via Neo4j

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Neo4j Ops Manager: One place to centrally and easily manage Neo4j databases

Neo4j integrates into your data ecosystem with connectors

Developer

Neo4j data access for your .NET Core C# microservice

Developers.Zed: The LinkedIn for developers in Zambia

Graph Data Science

Can’t stop, won’t stop: Graph Data Science 2.1 is better than ever

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Graph Data Science for supply chains – Part 1: Getting started with Neo4j GDS and Bloom

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Pride at Neo4j: thirty years of hope

Developer

The new normal: What I learned (or un-learned) at GraphConnect 2022