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Agentic AI

The Enterprise Knowledge Layer

A manifesto for context-rich enterprise AI

Chart of the Enterprise Knowledge Layer spanning ontologies, data, and memory.

Welcome, GraphAware

Agentic AI

How AI decision-making works and how to improve it

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

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

Building an AI agent with memory: Microsoft Agent Framework + Neo4j

Developer

Building an AI agent with memory: Microsoft Agent Framework + Neo4j

A constellation of Orion represented as a graph with nodes and relationships.

GenAI

Advanced RAG techniques for high-performance LLM applications

Graph analytics applications and use cases

Simplify modern application development with GraphQL on Neo4j AuraDB

Neo4j graphs, acceleration frameworks, and recommendations: A winning trio

GenAI starter kit: Everything you need to build an application with Spring AI in Java

Accelerate Neo4j app development with low-code Keymaker framework

How DBS connect knowledge with a knowledge quotient framework

GraphQL

New book: Full Stack GraphQL applications (download for free!)

Demo: Building intelligent supply chain application with Neo4j

Learn how EY used Neo4j to design enterprise HR applications at scale.

Designing the Enterprise: HR Applications at Scale

Graph-powered recommendations: A framework for faster development