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

How to explore SAP sample data in Neo4j – Graph for ERP part 2

7 min read

Graphs for ease and scalability in the auto industry: The 5-minute interview with Michal Stefanak

3 min read
Knowledge graph-based chatbot with GPT-3 and Neo4j

Knowledge graph-based chatbot with GPT-3 and Neo4j

13 min read

The power of knowledge graphs and conversational AI

2 min read

An introduction to Needle – Neo4j’s design system

5 min read

GraphSummit 2023: 3 things to expect this year

3 min read

A new steer for the (Neo4j) drivers?

7 min read

Announcing the newest Neo4j and AWS partner solution

4 min read

Breaking out of data jail: How Arcurve better serves its clients with Neo4j Graph Data Science

4 min read

Wardley mapping with Neo4j

3 min read

Fight cybercrime with Bloom: The 5-minute interview with Bertrand Provost

2 min read

Maximising efficiency: The power of ChatGPT and Neo4j for creating and importing sample datasets

4 min read