Neo4j Blog

From Data to Intelligence: Why Every Enterprise Needs an AI Knowledge Layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

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

Photo by Daniel Lloyd Blunk-Fernández on Unsplash

Diversify Your Stock Portfolio with Graph Analytics

Discover Aura Free: Week 10 – Getting Dumps and Example Projects into Aura Free

Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA

Learn More About Neo4j

It’s Officially Fall: Let’s Catch Up on What You Missed This Summer

Developer

Connecting to Neo4j from Microsoft Power BI Using ODBC

Exploring the Pandora Papers with Neo4j

Exploring the Pandora Papers with Neo4j

Let’s Write a Stored Procedure in Neo4j – Part I

Approximate Maximum K-Cut with Neo4j Graph Data Science

AFNOR and the Innovation Lab

Graph Data Science

Stéphane Delysee: How AFNOR Found Success with Neo4j’s Innovation Lab

Q3 News Coverage

GenAI
News

Neo4j in the News – End of Summer Edition: Explainable AI, Democratizing Coding, and Space Junk

AuraDB

The Journey to Cloud: Implementing AuraDB at Boston Scientific

Cypher Sleuthing: Dealing with Dates, Part 5 – APOC