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

Learn more about connecting healthcare with graph technology.

Connecting healthcare

Check out this 5-minute interview with Jennifer Reif.

Cypher & GQL

Creating aha moments for developers: The 5-minute interview with Jennifer Reif, Developer Relations Engineer at Neo4j

Graphs to fight diabetes

AuraDB

GraphCast: How-to video series

Check out what select Neo4j staff predicts for 2020.

Neo4j staff predictions for 2020

Discover the top 10 moments and big announcements from the Neo4j graph community in the last decade

A decade of graphs: Neo4j’s top 10 biggest moments of the 2010s

Here are the 2019 graph happenings, including Neo4j Aura’s launch and the NODES online conference.

A year in review: Neo4j’s top 9 biggest news & announcements of 2019

You don’t want to miss these seven videos highlighting major Neo4j moments from the past year.

The top 7 Neo4j videos of 2019

Catch up on all of the best episodes and interviews from the Neo4j Graphistania podcast during 2019

The top 5 Neo4j podcasts of 2019

Check out the top blogs published on Neo4j in 2019.

8 awesome Neo4j blogs from 2019

Identity & access management

Deep access control: 5-minute interview with Manish Jain

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)