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

Meet Lenny’s Memory: Building context graphs for AI agents

Developer

Boundary graph: Exploring the IPL through the lens of graphs

Agentic AI vs. generative AI: Why agents need memory, context, and guardrails

Why LeBron James shouldn’t drive your recommendations: The intuition behind the Jaccard coefficient

Graph database

Building a seamless data pipeline with Neo4j CDC and GCP Pub/Sub

Getting started with MCP servers: A technical deep dive

Scaling without limits: Infinigraph is now generally available

Vector search with filters in Neo4j

Powering India’s AI future with graph intelligence

Powering India’s AI future with graph intelligence

Empowering Microsoft Agent Framework with Neo4j knowledge graphs

Developer

How to deploy the Neo4j MCP server to GCP Cloud Run

Why AI teams are moving from prompt engineering to context engineering