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.

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

How Graph Intelligence Drives Breakthroughs in Science and Society

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

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

See All Articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See All Articles

Philip Rathle

Chief Technology Officer, Neo4j

See All Articles

Most Recent

Illustration of a fleet manager dashboard on a laptop managing three graph databases

AuraDB
News

Introducing Neo4j Fleet Manager: One Control Plane for All Your Neo4j Deployments

How to Launch Neo4j Fleet Manager and Maximize Its Value

Agentic Graph Analytics With External MCP Providers and Neo4j

Write Neo4j Graph Intelligence Results Back to OneLake in Microsoft Fabric

Constructing Knowledge Graphs With Neo4j GraphRAG for Python

Announcing the Neo4j Connector for AWS Glue

News

Neo4j Earns New AWS Competencies and Expands Innovation Ahead of AWS re:Invent

Agentic AI

What Is Agentic AI? The Shift Toward Autonomous, Goal-Driven AI Systems

Implementing DRIFT Search With Neo4j and LlamaIndex

Build a Private Network Path to Aura on AWS, Azure, and Google Cloud Using Terraform

News

Reflections on the 2025 Gartner® Cloud DBMS Magic Quadrant™ and the Future of AI-Ready Data

Introducing Neo4j’s Native Vector Data Type