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

BioCypher: Unifying framework for biomedical knowledge graphs

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Streamline your API development with Neo4j, GraphQL, and StepZen

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Build a routing web app with Neo4j, OpenStreetMap, and Leaflet.js

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Bluesky user interaction graph—Discover AuraDB free (week 47)

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Neo4j AuraDB Enterprise now available on Microsoft Azure

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Native vs. non-native graph database

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NODES 2023 is coming in October, and you’re invited!

3 min read

Generating Cypher queries with ChatGPT 4 on any graph schema

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How Apna built a better job search experience with graph database

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Global Graph Celebration Day 2023: Join us for raffle & crossword

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Top speakers to watch out for at GraphSummit Europe 2023

2 min read

Graphs4APAC: Enabling, empowering & engaging professionals in APAC

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