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

Developer

What’s new in Neo4j Graph Intelligence for Microsoft Fabric

APRA Just Put the Financial Sector on Notice Over AI. Government Agencies Need to Take Notes.

APRA Just Put the Financial Sector on Notice Over AI. Government Agencies Need to Take Notes.

Now available: Dedicated Neo4j field engineers empowering AI startups

Introducing Create Context Graph

How a Neo4j semantic layer makes your Text-to-SQL agent smarter and cheaper

NODES 2026 Call for Papers open until June 15, 2026

Graph Database

NODES 2026 Is Coming Up: Submit Your Talk

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Turning ServiceNow data into connected enterprise intelligence

Building graph-based agentic systems: Failures, fixes, and how the answer gets there — Part 2

SumoDB in Neo4j: Graph Analytics in Snowflake — Part 2

Get start With Neo4j Aura Cloud Graph Database Network

Getting started with Neo4j Aura: A guide to the leading cloud graph database

Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic AI

Agentic RAG: What it is, how it works, and when to use it

Introducing Neo4j Agent Skills