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

Diagram of the enterprise graphs: Employee, Network & Security, Supplier, Product, Process, Transaction, Customer

Model your data like your business for better insights

9 min read

Text2Cypher across languages: Evaluating foundational models beyond English

6 min read
Welcome Mark Woodhams, Neo4j's Chief Revenue Officer

Welcoming our new CRO, Mark Woodhams

3 min read

Cypher conditional queries

17 min read

Cypher versioning

10 min read

Agentic AI with Java and Neo4j

25 min read

Improve GenAI challenges on AWS with graph technology

3 min read

Explore the Neo4j data modeling MCP server

8 min read

Neo4j certification: What’s the value?

4 min read
Knowledge graphs & LLMs for multi-hop question answering.

How to improve multi-hop reasoning with knowledge graphs and LLMs

20 min read

Cypher: the Neo4j query language decoded for beginners

12 min read

Introducing AI-powered dashboard creation in the Aura Console

7 min read