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

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

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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

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best tools for context engineering in agentic AI systems

Why healthcare CIOs can’t afford to scale AI without a knowledge graph foundation

Neo4j Community Edition advances for graph-powered AI and intelligent applications

Graph database

Neo4j Community Edition advances for graph-powered AI and intelligent applications

Neo4j and Databricks - Data to Knowledge

Graph database

Power connected intelligence for AI and analytics with Neo4j and Databricks

Neo4j brings high speed identity resolution to the Snowflake AI Data Cloud

Hey LLM, you’re using OPTIONAL MATCH wrong. Here’s the Cypher that actually works.

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

What is GraphRAG?

The data strategy that makes truly personalized customer experiences possible

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How graph intelligence drives breakthroughs in science and society

Finding the fastest way out: How Dijkstra’s algorithm finds shortest paths

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How graph and AI take us from dashboards to continuous decisions