Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

What is AI-ready data? How a knowledge layer gets you there

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

Demystifying environmental, social, and governance (ESG) reporting with graphs

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

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

Agentic AI

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

How graph-powered supply chain improves sustainability

LLM knowledge graph builder back-end architecture and API overview

Introducing the fine-tuned Neo4j Text2Cypher (2024) model

Benchmarking using the Neo4j Text2Cypher (2024) dataset

Introducing the Neo4j Text2Cypher (2024) dataset

AI Ethics: What Is It and Why Should You Pay Attention?

AI ethics: What is it and why should you pay attention?

Divya Venkatraman

Graph database

This week in Neo4j: Knowledge graphs, NeoDash, automation, web analysis and more

NeoDash 2.3: Create graph dashboards with LLM-powered natural language queries

GraphConnect 2022: 10 sessions you don’t want to miss