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

Context graph diagram illustrating decision traces for AI agents

Agentic AI

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

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Learn more about graph data science.

Evolving your application of GDS technology

Graph Data Science for supply chains – Part 1: Getting started with Neo4j GDS and Bloom

Learn how Neo4j AML technology combats money laundering.

Combating money laundering: Enterprise AML technology

Webinars, Demos, Connections – Oh My!

Graph Data Science

Webinars, demos, connections – oh my!

GenAI
News

2025: Year of AI and scalability

Find similar patient journeys with Neo4j Aura graph analytics

Developer

Neo4j certification: What’s the value?

GenAI

Maximize generative AI outcomes, minimize generative AI risks

Developer

Graph databases offer a deeper understanding of organizational risk

Entity resolved knowledge graphs: A tutorial

Entity resolved knowledge graphs: A tutorial

Building an educational chatbot for GraphAcademy with Neo4j

Developer

How to integrate Neo4j with SSO on Azure: One login to rule them all