Neo4j Blog

From Data to Intelligence: Why Every Enterprise Needs an AI Knowledge Layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

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

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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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

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?

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

Developer

Neo4j and the Data Ecosystem

Agentic AI

What Are Agentic Workflows? Design Patterns & When to Use Them

Beyond the Lakehouse: Why Your Microsoft Fabric Strategy Needs Neo4j Graph Intelligence