Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Illustration representing a context graph for AI agent memory

What is a context graph?

13 min read

Welcome, GraphAware

4 min read

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

What is pattern matching?

12 min read

Choose the right Neo4j offering for your needs

5 min read

Announcing NODES 2025: Submit your talk

2 min read

From click to chaos: Chaos testing within Neo4j Aura

15 min read

GraphRAG and agentic architecture: Practical experimentation with Neo4j and NeoConverse

17 min read
Direct Import From Cloud Data Warehouses

New in Neo4j AuraDB: Direct import from cloud data warehouses

3 min read

Graphiti: Knowledge graph memory for an agentic world

5 min read

Top 10 graph database use cases (with real-world case studies)

20 min read

Modeling agent memory

9 min read

LLM knowledge graph builder front-end architecture

15 min read

Is traditional SaaS behind us? The Graph + GenAI revolution

11 min read
graph database vs. relational database

Graph database vs. relational database: What’s the difference?

15 min read