Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Welcome, GraphAware

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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 more about Neo4j Connector for Apache Spark.

The great hookup: Announcing Neo4j Connector for Apache Spark

Remembering all those who served, Neo4j says thank you.

A big thank you from Neo4j to all veterans

GraphCast: Pathfinding algorithms

preview-image-finding-fraud-with-graph-data-science-infographic

Find more fraud with Graph Data Science [Infographic]

An explosion of use cases: 5-minute interview with Rik Van Bruggen

GRANDstack: Graphs all the way down

Check out this podcast on the Graph Databases For Dummies book.

Graphistania podcast: Authors discuss Graph Databases For Dummies

Catch this week's GraphCast: Graph Data Science Library

GraphCast: Graph data science library

Learn about the newest features in Neo4j Bloom 1.4

Graph visualization

Graph visualization just got easier: Introducing Neo4j Bloom 1.4!

Learn about Neo4j Graph Data Science 1.4

Announcing: Graph-native machine learning in Neo4j!

Check out the Virtual Expo Space at NODES 2020.

NODES

NODES 2020 virtual space: Have a peek

The lean-in moment: 5-minute interview with Paul Westcott