Neo4j Blog

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Learn how the Neo4j Graph Intelligence Platform provides the relational context that production-grade AI and enterprise analytics need.

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

From data to intelligence: Why every enterprise needs an AI knowledge layer

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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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

Agentic AI vs. Generative AI: Why Agents Need Memory, Context, and Guardrails

GenAI

Maximize Generative AI Outcomes, Minimize Generative AI Risks

The Ethics of Generative AI: Understanding the Principles and Risks

What is generative AI?

GenAI

What Is Generative AI?

Agentic architecture is the system design that enables agentic systems to work efficiently towards the goal.

Agentic AI

What Is Agentic AI Architecture? Common Patterns and When to Use Them

Agentic AI

Useful AI Agent Case Studies: What Actually Works in Production

Powering India’s AI Future with Graph Intelligence

Powering India’s AI Future with Graph Intelligence

Why AI Teams Are Moving From Prompt Engineering to Context Engineering

Agentic AI

What Is Agentic AI? The Shift Toward Autonomous, Goal-Driven AI Systems

News

Reflections on the 2025 Gartner® Cloud DBMS Magic Quadrant™ and the Future of AI-Ready Data

How a $28 Part Can Bring Down a $5M Machine — and How GenAI Stops It

Reinventing Retail: How Neo4j, Oneture, and AWS Can Power Multi-Agent Store Advisers