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

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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

Stranger Graphs illustration

“Stranger Things” — The gate to true sight with graph intelligence

5 min read

Aura activity feed: Enhanced security and compliance for Neo4j Aura

3 min read

Modeling disruptions in the MTA subway

7 min read

Cypher and the cipher manuscript

21 min read

Build better recommendations with Aura graph analytics

10 min read

Conquering Neo4j errors: GQLSTATUS code to the rescue

5 min read

Why startups in the Google ecosystem choose Neo4j

4 min read

Declarative route planning with Cypher 25—Graph traversal grows up

12 min read
Diagram of OneLake, Microsoft Fabric, and Neo4j.

Announcing general availability of Neo4j Graph Intelligence for Microsoft Fabric

5 min read

Streamline data ingestion with the Neo4j Aura Import API

8 min read

Use sentiment analysis to understand risk appetite

20 min read

New GraphAcademy course: Aura Fundamentals

2 min read