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

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?

Welcome, GraphAware

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

Developer

How to deploy the Neo4j MCP server to GCP Cloud Run

Why AI teams are moving from prompt engineering to context engineering

Agentic AI

Hands on with context graphs and Neo4j

Fighting financial fraud with graph technology

Fighting financial fraud with graph technology

New Cypher AI procedures

What is context engineering in AI agents? A practical guide

Debugging with Aura Agent

Analyze a complex network in Neo4j with user-defined functions

Model Context Protocol (MCP)

GenAI

What is Model Context Protocol (MCP)?

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