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

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

The data strategy that makes truly personalized customer experiences possible

9 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

2025: Year of AI and Scalability

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Graphs for Ease and Scalability in the Auto Industry: The 5-Minute Interview with Michal Stefanak

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Achieve Unrivaled Speed and Scalability With Neo4j

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Catch this week's GraphCast: A brief explainer of the unlimited scalability features in Neo4j 4.0

#GraphCast: Unlimited Scalability with Neo4j 4.0

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The Future of the Intelligent Application: Scalability for Unlimited Growth

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Neo4j 2.2.0 – Massive Write & Read Scalability, Faster Cypher Query Performance, Improved Developer Productivity

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ServiceNow+Neo4j

Turning ServiceNow Data into Connected Enterprise Intelligence

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Introducing Asynchronous I/O in Neo4j using io_uring

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Building a Neo4j Graph Agent for Gemini Enterprise

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Neo4j GraphML Detects Network Intrusion in Snowflake

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Neo4j and the Data Ecosystem

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Exploring Ultimate Beneficial Ownership with Graph Technology

Exploring Ultimate Beneficial Ownership with Graph Technology

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