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

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?

Welcome, GraphAware

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 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

Meet our VP of People, Kristin Thornby, as she talks with Emil about how she wants to shape Neo4j's culture.

News

Please welcome Kristin Thornby, our new VP of People!

Everything you need to know about our Neo4j certifications

Check out some of the most standout media coverage of Neo4j in spring 2021.

Neo4j in the news – spring edition: Cloud, graph analytics, and the next decade of graph

Developer

Neo4j for Django developers

Leading the global growth of graphs: the 5-minute interview with GraphAware

News

Neo4j community is migrating from Slack to Discord