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

Benchmarking using the Neo4j Text2Cypher (2024) dataset

3 min read

New GraphAcademy course: Building Neo4j applications with Spring Data

1 min read

Introducing the Neo4j Text2Cypher (2024) dataset

4 min read

Effortless RAG with Text2CypherRetriever

6 min read

Announcing new Aura import services

7 min read

Forrester Wave: GraphRAG is a game-changer for GenAI accuracy and relevance

3 min read
Neo4j GraphQL Library: Our Roadmap for 2024–2025

Neo4j GraphQL Library: Our roadmap for 2024–2025

5 min read
Boosting AuraDB Read Performance With Secondaries

Boosting AuraDB read performance with secondaries

3 min read

Efficiently monitor Neo4j and identify problematic queries

12 min read
GraphRAG Python package.

GraphRAG Python package: Accelerating GenAI with knowledge graphs

14 min read

New GraphAcademy course: Building knowledge graphs with LLMs

2 min read
What is supply chain management?

What is supply chain management? A guide to optimizing SCM

15 min read