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

Context graph diagram illustrating decision traces for AI agents

Agentic AI

What are decision traces in a context graph? How they reveal agentic reasoning

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

Graphie winner for supply chain excellence: 5-minute interview with OrbitMI

Cypher & GQL

GraphGist revue: Mapping the results of women’s alpine ski races

Graph embeddings: AI that learns from your data to solve problems

You want some join context? Neo4j has you covered

Exploring fraud detection with Neo4j & Graph Data Science – Part 4

Exploring fraud detection with Neo4j & Graph Data Science – Part 3

Exploring fraud detection with Neo4j & Graph Data Science – Part 2

Exploring fraud detection with Neo4j & Graph Data Science – Part 1

Exploring fraud detection with Neo4j & Graph Data Science – summary

Full stack graph in the cloud

AuraDB

GraphCast: How to use Neo4j Data Importer

Graphie Graphs4Good in medical research: 5–minute interview with HealthECCO