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

Different your solutions to achieve next-generation service assurance.

The next generation of service assurance: Differentiating your solution

Check out this 5-minute interview with Peter Visser on graph databases and metadata.

Metadata for real people: 5-minute interview with Pieter Visser, solutions architect at the University of Washington

Discover how and why you should use multiple databases to suit your needs.

Graph Data Science

Don’t choose one database… choose them all!

Learn about Neo4j's new commercial Kubernetes application on the Google Cloud Platform Marketplace.

Neo4j launches commercial Kubernetes application on Google Cloud Platform Marketplace

Learn the critical business value of data relationships and why they matter more than discrete data

Graph Data Science

Graph databases for beginners: Why connected data matters

The next generation of service assurance, learn how your network is a graph.

The next generation of service assurance: Your network is a graph

Discover how graphs help thwart hacker attacks with Andy Robbins of SpectorOps.

Security

How hackers attack: 5-minute interview with Andy Robbins, Adversary Resilience Lead at SpecterOps

Read this in-depth presentation on knowledge graphs and the path to enterprise AI from GraphConnect.

Knowledge graphs: The path to enterprise AI

Examine the challenges of network services and discover next-generation service assurance.

The next generation of service assurance: The imperative to advance

Learn how Ajinkya Kale, Senior Applied Researcher at eBay's New Product Development Group, uses Neo4j.

Machine learning on graphs: 5-minute interview with Ajinkya Kale, senior applied researcher at eBay

Learn about the importance of causal clustering in keeping data persistent.

Graphs at scale: Scale out Neo4j using Apache Mesos and DC/OS

Read this interview with Tim Ward, CEO at CluedIn, about using Neo4j for machine learning and more

Connecting the tech stack: 5-minute interview with Tim Ward, CEO at CluedIn