Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

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

Context graphs: Why AI agents need three types of memory

What is AI-ready data? How a knowledge layer gets you there

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

Neo4j GraphML detects network intrusion in Snowflake

Architecting graph-based agentic system: When a regulator asks “Why was this loan approved?”

Architecting graph-based agentic system: When a regulator asks “Why was this loan approved?”

Batching like a pro

Batching like a pro

When your agents share a brain: Building multi-agent memory with Neo4j

When your agents share a brain: Building multi-agent memory with Neo4j

From recall to reasoning: How context graphs upgrade an agent’s brain

Expensive AI models may sound smart, but without context, they don’t actually understand your business. It’s Ferris Bueller’s Ferrari with nowhere to drive. All engine. No roads.

The context gap: Why your smart-sounding AI struggles to reason

From data to intelligence: Why every enterprise needs an AI knowledge layer

Using agents to secure satellites’ supply chain systems

Using agents to secure satellites’ supply chain systems

Why machines need embeddings: Turning graph structure into features

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

Developer

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

Finding hidden bottlenecks in flight networks with Aura graph analytics on Databricks

Find impactful graph-powered insights in Databricks