Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

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

Context graphs: Why AI agents need three types of memory

What is AI-ready data? How a knowledge layer gets you there

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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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

Learn how Hadoop must adjust to connecting big data.

From collections to connections: Where Hadoop adoption goes from here

Graph database

Data consistency models: ACID vs. BASE explained

Knowledge graph

Data lineage: Using knowledge graphs for deeper insights into your data pipelines

16 things to consider when selecting the right graph database

From Law Enforcement to Graph Technology

Graph Data Science

From law enforcement to graph technology: an unlikely relationship

From Collected Data to Connected Data

Graph database

From collected data to connected data

Discover how graph technology enhances artificial intelligence and machine learning with graph theory and algorithms.

Graphs for AI and machine learning

Graph Data Science

Capgemini’s UK Graph Guild: 5-minute interview with Calum Chalmers

Graph-Powered Recommendations: Instantly Evaluating Relationships

Discover the top 10 moments and big announcements from the Neo4j graph community in the last decade

A decade of graphs: Neo4j’s top 10 biggest moments of the 2010s

Learn how graphs add business value.

How Boston Scientific improves manufacturing quality using graph analytics

Check out this interview with Lyft about using Neo4j.

Graph Data Science

Live from Lyft: Q&A with Mark Grover, product manager at Lyft