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

Building a web app with Neo4j AuraDB and PHP

NeoDash 2.0 – A brand new way to visualize Neo4j

How knowledge graphs have transformed the supply chain industry during COVID

Bloom 2.0

Introducing Neo4j Bloom 2.0 – the fastest path to graph data visualization

Integrating graph data visualizations into no-code workflows with Bloom 2.0

Neo4j as an embedded database: Understanding embedding and graph databases

Graph Data Science

Evolving an enterprise with graph technology

Digging into the ICIJ Pandora Papers dataset with Neo4j

NODES

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

Developer

How to build a Neo4j application with Node.js

Neo4j 4.4

Neo4j 4.4 – The fastest path to graph database productivity, generally available

News

The results are in: Here are this year’s Graphie award winners