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

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Learn about streaming graphs by combining Kafka and Neo4j.

Streaming graphs: Combining Kafka and Neo4j

Learn why graph technology is the best solution for CCPA compliance.

Overcoming CCPA compliance challenges: Why graph technology is the best solution

Graph visualization

Not everyone is a data scientist: 5-minute interview with Sony Green

See another fun example of how graphs really are everywhere.

Super (Data) model: Graphing “RuPaul’s Drag Race”

Learn how graph technology helps you overcome CCPA challenges.

Overcoming CCPA challenges: graph technology solves personal data privacy challenges

Catch this week's GraphCast on the Bloom Series, which features some of Neo4j Bloom's best features.

Graph visualization

GraphCast: Bloom series

Learn more about GraphConnect 2020 call for papers.

GraphConnect 2020: Call for papers closing November 15

Learn how graphs add business value.

How Boston Scientific improves manufacturing quality using graph analytics

What is CCPA compliance? A definition

Overcoming CCPA compliance challenges: What is CCPA?

Global GraphHack 2019 winners announced.

Announcing the Global GraphHack winners!

Learn more about Neo4j's new Educator Program for classroom instruction.

Empowering educators: Neo4j’s new program for classroom instruction

Turning data into actionable knowledge: 5-minute interview with David Meza