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

Context graph diagram illustrating decision traces for AI agents

Agentic AI

What are decision traces in a context graph? How they reveal agentic reasoning

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

We’re honored to welcome Kapil Hetamsaria as Neo4j’s new Chief Business Officer for Strategic Partnerships and Alliances.

News

Welcoming Kapil Hetamsaria, our chief business officer for strategic partnerships and alliances

Developer

Neo4j sink connector for Confluent available as managed connector on Confluent Cloud

DevSecOps with graph for valuable insights

NODES 2025—a recap in 10 videos

Illustration of a fleet manager dashboard on a laptop managing three graph databases

AuraDB
News

Introducing Neo4j Fleet Manager: One control plane for all your Neo4j deployments

How to launch Neo4j Fleet Manager and maximize its value

Agentic graph analytics with external MCP providers and Neo4j

Write Neo4j graph intelligence results back to OneLake in Microsoft Fabric

Constructing knowledge graphs with Neo4j GraphRAG for Python

Announcing the Neo4j connector for AWS Glue

News

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

Agentic AI

What is agentic AI? The shift toward autonomous, goal-driven AI systems