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

Creating a Neo4j React app with use-neo4j hooks

Creating a Neo4j React app with use-neo4j hooks

Advantages of Neo4j AuraDB Enterprise: Fast and secure

Healthcare

Ravi Anthapu and Matt Holford: 5-minute interview

Advantages of Neo4j AuraDB Enterprise: Effortless and scalable

News

Happy Global Graph Celebration Day 2021!

Celebrating the one-year anniversary of Neo4j's graph data science framework.

Happy one-year anniversary to Neo4j Graph Data Science!

Learn how to set up GitOps for a full-stack application with immutable infrastructure using Flux and Helm on Kubernetes.

Developer

How to set up GitOps for a full-stack app with Flux & Helm on Kubernetes

Cypher sleuthing: Dealing with dates, part 1

Graphs for real-time transaction processing: 5-minute interview with Jorge Zaccaro

Create your own Neo4j dashboards with Retool, a low-code tool for building apps with drag-and-drop components and Javascript customization.

Create-your-own dashboard: Using Retool with Neo4j

AuraDB

Advantages of Neo4j AuraDB Enterprise: Innovative and trusted

Check out this week's GraphCast with Current.

GraphCast: Current leverages Neo4j for a modern banking approach