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

Neo4j joins forces with IBM to bring graph intelligence to enterprise AI customers

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

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

Discover the soul of a product using Neo4j and React

17 min read
Learn how to use Neo4j's graph visualization to do extensive representation of COVID-19 contact tracing.

Extensive representation of contact tracing with Neo4j in the canton of Geneva

5 min read

Top 10 use cases: Anti-Money Laundering

4 min read
Check out this week's #GraphCast on the FinCEN Files

GraphCast: Follow the money, untangling complex fraud networks with Emil Eifrem

1 min read

Observable graphs

3 min read

Language Buffet: Using Neo4j with GraalVM

14 min read

Making sense of news, the Knowledge Graph way

17 min read

Top 10 use cases: Knowledge Graphs

4 min read

Exploring graphs with BearingPoint: The 5-minute interview

4 min read
Learn about Neo4j Aura Enterprise

Introducing Neo4j AuraDB Enterprise [GA release]

5 min read

NeoDash: Build Neo4j dashboards without writing any front-end code

6 min read

Gram: A data graph format

4 min read