Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

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

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

Featured voices

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

Graph database

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

A machine learning innovation in predictive analytics

Celebrating the one-year anniversary of Neo4j's graph data science framework.

Happy one-year anniversary to Neo4j Graph Data Science!

Learn about graph data science

Graph Data Science

Insider guide to graph data science: First, a brief overview

Upgrade your Graph Data Science library now (or miss out on cool new features)

Get all the details for this year's Global Graph Celebration Day.

Calling all nodes: Join us for Global Graph Celebration Day – April 15, 2020!

Learn how to host a Global Graph Celebration Day event with Neo4j.

Host an event (big or small) with us for Global Graph Celebration Day

Graph database

Living the graph: how graph databases fit into everyday life

2012 year in review: Graph databases on the rise

2012 year in review: Graph databases on the rise

Webinar follow up: How to get started with Neo4j

Graph database

Graph processing v. graph databases – Jim Webber