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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

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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

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

SumoDB in Neo4j: Chaining Multiple Graph Algorithms in Snowflake — Part 3

SumoDB in Neo4j: Chaining Multiple Graph Algorithms in Snowflake — Part 3

Developer

What’s new in Neo4j Graph Intelligence for Microsoft Fabric

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

APRA just put the financial sector on notice over AI. Government agencies need to take notes.

APRA just put the financial sector on notice over AI. Government agencies need to take notes.

Now available: Dedicated Neo4j field engineers empowering AI startups

Grounding Salesforce Agentforce with Neo4j knowledge graphs

Introducing Create Context Graph

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

How a Neo4j semantic layer makes your Text-to-SQL agent smarter and cheaper

NODES 2026 Call for Papers open until June 15, 2026

Graph database

NODES 2026 is coming up: Submit your talk

ServiceNow+Neo4j

Turning ServiceNow data into connected enterprise intelligence