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

Knowledge graph

Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

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

How a Neo4j semantic layer makes your Text-to-SQL agent smarter and cheaper

NODES 2026 Call for Papers open until June 15, 2026

Graph database

NODES 2026 is coming up: Submit your talk

ServiceNow+Neo4j

Turning ServiceNow data into connected enterprise intelligence

Building graph-based agentic systems: Failures, fixes, and how the answer gets there — Part 2

SumoDB in Neo4j: Graph Analytics in Snowflake — Part 2

Get start With Neo4j Aura Cloud Graph Database Network

Getting started with Neo4j Aura: A guide to the leading cloud graph database

Learn what agentic RAG is, how it works, which design patterns to use, and when it beats traditional RAG.

Agentic AI

Agentic RAG: What it is, how it works, and when to use it

Introducing Neo4j Agent Skills

Introducing Asynchronous I/O in Neo4j using io_uring

SumoDB in Neo4j: Graph Analytics of Grand Sumo

Building stateful AI: Integrating Aura Agent lifecycle with MCP and persistent memory

Precise economic policy in a world of chaos