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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

FOSDEM 2018: Join us in the graph developer room!

News

FOSDEM 2018: Join us in the graph developer room!

An in-depth graph analysis of the Paradise Papers

How to use Kubernetes to quickly deploy Neo4j clusters

Learn how the Paradise Papers investigation used Neo4j for connected data queries and data models

Analyzing the Paradise Papers with Neo4j: A closer look at queries, data models & more

Discover how Neo4j graph technology has helped power the Paradise Papers investigation by the ICIJ

Neo4j: The power behind the Paradise Papers

Explore the Neo4j Graph Database community on GitHub using the power of Neo4j graph visualization

Graph database

Going meta: Exploring the Neo4j graph database…as a graph

Learn how Neo4j is used for product recommendations and personalized promotions in the retail sector

Real-time recommendations

Retail & Neo4j: Personalized promotion & product recommendations

Learn about Neo4j and GRANDstack, including news from the GraphQL Summit and a new challenge

GraphQL
News

Neo4j & GRANDstack at GraphQL Summit [+Developer Challenge]

Learn about the alpha release of Cypher for Apache Spark™ making Cypher available for analytics

Cypher & GQL

Cypher – the SQL for graphs – is now available for Apache Spark

Learn all about the 3.3 General Availability (GA) release of the Neo4j Graph Database

Neo4j graph database 3.3 release: Everything you need to know

Learn how Neo4j is evolving beyond being a graph database and becoming a graph technology platform

Neo4j: From graph database to graph platform

Learn more about how to accelerate Neo4j performance using CAPI SNAP technology on IBM Power Systems

Graph database

Accelerating Neo4j with CAPI SNAP from IBM Power Systems