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
Context graph diagram illustrating decision traces for AI agents

What are decision traces in a context graph? How they reveal agentic reasoning

10 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

Neo4j Community Edition advances for graph-powered AI and intelligent applications

Neo4j Community Edition advances for graph-powered AI and intelligent applications

4 min read
Neo4j and Databricks - Data to Knowledge

Power connected intelligence for AI and analytics with Neo4j and Databricks

5 min read

Neo4j brings high speed identity resolution to the Snowflake AI Data Cloud

3 min read

Hey LLM, you’re using OPTIONAL MATCH wrong. Here’s the Cypher that actually works.

9 min read
Agentic architecture is the system design that enables agentic systems to work efficiently towards the goal.

What is agentic AI architecture? Common patterns and when to use them

10 min read

What is GraphRAG?

12 min read

The data strategy that makes truly personalized customer experiences possible

9 min read
Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How graph intelligence drives breakthroughs in science and society

5 min read

Finding the fastest way out: How Dijkstra’s algorithm finds shortest paths

5 min read
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How graph and AI take us from dashboards to continuous decisions

5 min read

Neo4j and the data ecosystem

14 min read

What are agentic workflows? Design patterns & when to use them

12 min read