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

Announcing the Neo4j connector for AWS Glue

News

Neo4j earns new AWS competencies and expands innovation ahead of AWS re:Invent

Build a private network path to Aura on AWS, Azure, and Google Cloud using Terraform

Reinventing retail: How Neo4j, Oneture, and AWS can power multi-agent store advisers

Improve GenAI challenges on AWS with graph technology

Neo4j earns new AWS competencies.

Neo4j expands AWS collaboration with new competencies in finance, automotive, GenAI, and ML

AuraDB
News

AWS PrivateLink and VPC Lattice improve cross-account resource sharing for Neo4j

Elevate fraud detection with Neo4j on AWS: Uncover hidden patterns and enhance accuracy

How to configure Neo4j Aura with AWS PrivateLink.

How to configure Neo4j Aura with AWS PrivateLink

AWS and Neo4j join forces to solve LLM hallucinations and evolve GenAI

Neo4j is now AWS PrivateLink service ready

Using Neo4j AuraDB as a source and sink for AWS MSK