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

Catch this week's GraphCast: Watching this entertaining presentation on graph databases and why they are life-changing.

Graph Data Science

GraphCast: “Graph databases will change your freakin’ life”

Learn about Fullstack GraphQL in Neo4j.

Fullstack GraphQL with Neo4j

Discover why we need to guide responsible AI.

Real examples of why we need context for responsible AI

Graph Data Science

Capturing relationships: 5-minute interview with Forrest Swope

Learn more about Neo4j Aura, the first full managed graph DBaaS.

AuraDB
News

Introducing Neo4j AuraDB: A new graph database as a service

Anti-Money Laundering compliance infographic

Anti-money laundering compliance with graph technology [Infographic]

Catch this week's GraphCast: all of the developer presentations from NODES 2019 in a single playlist

NODES

GraphCast: Everything you missed at NODES 2019 (all in 1 playlist)

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