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

Vector RAG vs. GraphRAG: Which retrieval do you need?

10 min read

Introducing Neo4j GraphAware Financial Crime Intelligence

8 min read

Independent study: GraphRAG makes AI agents 80% more truthful

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

New Cypher AI procedures

21 min read

What is context engineering in AI agents? A practical guide

18 min read

Debugging with Aura Agent

29 min read

Analyze a complex network in Neo4j with user-defined functions

6 min read
Model Context Protocol (MCP)

What is Model Context Protocol (MCP)?

15 min read
We’re honored to welcome Kapil Hetamsaria as Neo4j’s new Chief Business Officer for Strategic Partnerships and Alliances.

Welcoming Kapil Hetamsaria, our chief business officer for strategic partnerships and alliances

4 min read

Neo4j sink connector for Confluent available as managed connector on Confluent Cloud

2 min read

DevSecOps with graph for valuable insights

9 min read

NODES 2025—a recap in 10 videos

5 min read
Illustration of a fleet manager dashboard on a laptop managing three graph databases

Introducing Neo4j Fleet Manager: One control plane for all your Neo4j deployments

3 min read

How to launch Neo4j Fleet Manager and maximize its value

4 min read

Agentic graph analytics with external MCP providers and Neo4j

8 min read