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.

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

What’s invisible in your supply chain could cost you

7 min read

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

13 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read

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

Cypher Sleuthing: Dealing with Dates, Part 5 – APOC

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GDS 1.7

What’s New with Graph Data Science: GDS 1.7 Release

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Kafka for Neo4j AuraDB Is Available Now

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Introducing the New GraphAcademy

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Catch this week's GraphCast: 8 tips to help you decide if knowledge graph is right for you.

#GraphCast: 8 Tips to Decide If Knowledge Graph Is Right for You

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Java 17: Explore the Newly-Released Java Version in a Graph Database!

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Nominate Your Fave Graph Superstar for a Graphie Award

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Data Modeling

Put Data Modeling on the Table

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Knowledge Graph book

Knowledge Graphs: Data in Context for Responsive Businesses [New Book]

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Learn More About Neo4j

It’s Back to School Season! Learn More About Neo4j With These Webinars

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Discover what's new in Neo4j Bloom 1.8

Announcing Neo4j Bloom 1.8: Now Generally Available

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Master of Neo4j Aura Enterprise on AWS

Become a Master of Neo4j AuraDB Enterprise on AWS on September 9

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