Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Illustration representing a context graph for AI agent memory

What is a context graph?

13 min read

Welcome, GraphAware

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

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

Neo4j data importer—Introducing file filtering

3 min read