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

Check out this blog post on graph the complex world of tea with a Neo4j graph database.

Keep calm and drink tea: Graphing Britain’s most beloved hot beverage

Watch Laura Drummer's presentation on how to use Neo4j for sentiment and social network analysis

Sentiment and social network analysis

Learn more about the GraphQL Foundation and building fullstack graph applications.

Neo4j joins GraphQL foundation as a founding member

Check out all who participated in Neo4j's Graph Visualization Day.

Graph V-Day (Graph Visualization Day) recap

Check out this interview with Weidong Yang, CEO of Kineviz.

Bringing wonder to data: 5-minute interview with Weidong Yang

Learn more about GraphXR, which enables graph exploration in virtual reality.

Graph visualization

Adding GraphXR as a graph app in Neo4j Desktop

Free Download O'Reilly Graph Algorithms book

Graph algorithms in Neo4j: Label propagation

Graph Data Science

Google Summer of Code for graph-based software analytics

Check out this 5-minute interview with James Gray, Direct of Product for Big Data at Phunware.

Mobile experiences at scale: 5-minute interview with James Gray

Discover the benefits of our updated Neo4j online training course.

Cypher & GQL

Check out the newly revamped intro to Neo4j online training course

Free Download O'Reilly Graph Algorithms book

Graph algorithms in Neo4j: Weakly connected components

Check out this 5-minute interview with Alex Babeanu from Nulli.

Simplifying identity management: 5-minute interview with Alex Babeanu