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

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

19 min read

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

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

Property sharding in Infinigraph: Smarter scaling for rich graph databases

4 min read

Detecting bank fraud with Neo4j: The power of graph databases

3 min read

Graph databases offer a deeper understanding of organizational risk

7 min read
Dave Aitel

This week in Neo4j: Cypher, GenAI, podcast, graph databases and more

3 min read

Easily run, scalable, fault tolerant graph databases with Neo4j autonomous clustering

6 min read
Main hall of the East Building of the National Gallery of Art, Washington, DC.

Graph databases explained: How relationships change everything

41 min read

A power user’s experience on using graph databases to drive better decision making

5 min read

Neo4j as an embedded database: The key use cases of graph databases

9 min read

Neo4j as an embedded database: Understanding embedding and graph databases

5 min read
Will It Graph? Part 3

Will it graph? Identifying a good fit for graph databases – Part 3

5 min read
Achieving Liftoff: Reflections of Six Amazing Months in Graph Databases

Achieving liftoff: Reflections on six amazing months in graph databases

7 min read
Will It Graph?

Will it graph? Identifying a good fit for graph databases – Part 2

12 min read