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

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

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?

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

AuraDB
News

Neo4j won prestigious Data Breakthrough Award for AuraDB!

Check out Neo4j's biggest news announcements of 2021

Neo4j’s top news announcements of 2021

Learn More About Neo4j

It’s officially fall: Let’s catch up on what you missed this summer

Fast Company honored Neo4j with honorable mentions for our Graph’s 4 COVID-19 “GraphHack.”

Neo4j Graphs4Good honored with Fast Company’s 2021 World Changing Ideas Award

Discover the power of graph databases in this GOTO Book Club episode featuring Neo4j's Jim Webber.

News

GraphCast: Discover the power of graph databases (GOTO Book Club)

Catch up on all of the best podcast episodes from the Neo4j community in the course of 2020.

The top 5 Neo4j podcasts of 2020

Master data management

Rethink Your Master Data: How Graphs and MDM Intersect

Learn about graph-related projects for COVID-19 and how to get involved.

Graphs and the strategic response efforts to COVID-19

Graphs to fight diabetes

Discover how to make small talk with your boss via recommendations.

How to make small talk with your boss about music (with the help of graph-based recommendations)

Catch this week's GraphCast showing how Neo4j is used around the globe for a variety of use cases

Graph Data Science

GraphCast: How graphs are used around the globe

Check out this interview with Dr. Alexander Jarasch.

Exploring inherent connections: 5-minute interview with Dr. Alexander Jarasch