Neo4j blog

Neo4j Context Engine: Rapidly build dependable enterprise agents

Neo4j Context Engine, now in private preview, enables AI agents to accurately answer questions about your business and reliably execute its processes.

5 min read
MIT Technology Review Insights report cover, Connecting AI agents to enterprise knowledge

MIT Technology Review Insights research explains why 13% of companies have a 61% AI success rate

6 min read
Agentic GraphRAG illustration showing an agent reasoning loop connected to a knowledge graph

Agentic GraphRAG: How does an AI agent use a knowledge graph?

9 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Emil Eifrem

CEO & Founder, Neo4j

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Please welcome Chandra Rangan, Neo4j’s chief marketing officer!

15 min read

Explore the Neo4j entity resolution sandbox

4 min read

10 things you can do with Cypher that are hard with SQL

17 min read

Graphs4Good: Where graph technology is tackling complex, real-world problems

7 min read

Clone an instance in Aura to optimize your development cycles

2 min read

GraphConnect 2022: Learn the Neo4j ropes at expert-led training sessions

6 min read

Achieve unrivaled speed and scalability with Neo4j

12 min read

A comprehensive guide to Cypher map projection

8 min read

Exploring the European natural gas network as a knowledge graph

17 min read

Graphs for cybersecurity: Introduction

5 min read
Women in Knowledge Graphs

Meet the women leading innovation in knowledge graphs

2 min read

Neo4j under the hood: Application-database model mismatch

5 min read