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

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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

Discover the data trends and challenges today that requires the power of knowledge graphs.

From graph to Knowledge Graph: Data trends and challenges

4 min read

How PwC Germany combats money laundering in crypto space with Neo4j

5 min read

Discover Aura Free: Week 11 – importing and querying Kickstarter projects

12 min read

New feature: Neo4j Sandbox backups

5 min read

Jim Webber with Asurion’s Julie Fisher on her singular path to graph

12 min read
Photo by Daniel Lloyd Blunk-Fernández on Unsplash

Diversify your stock portfolio with graph analytics

7 min read

Discover Aura Free: Week 10 – Getting dumps and example projects into Aura Free

4 min read

Combining knowledge graph and graph algorithms to find hidden skills at NASA

16 min read
Learn More About Neo4j

It’s officially fall: Let’s catch up on what you missed this summer

3 min read

Connecting to Neo4j from Microsoft Power BI using ODBC

2 min read
Exploring the Pandora Papers with Neo4j

Exploring the Pandora Papers with Neo4j

5 min read

Let’s write a stored procedure in Neo4j – Part I

18 min read