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.

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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

Graph Data Science for Drug Discovery: The 5-Minute Interview With Ufuk Kirik

Learn how Novartis conducts drug discovery and searches for medical compounds using graph technology.

Healthcare

Connecting the Dots in Early Drug Discovery at Novartis

Catch this week's GraphCast on how graph databases help with drug discovery for COVID-19 research

#GraphCast: Graphs Connecting COVID-19 Research

What Is GraphRAG?

Designing Agentic AI for Pharma & Life Sciences with Graph Technology: From Complex Evidence to Explainable Insights

Graph Database

Designing Agentic AI for Pharma & Life Sciences with Graph Technology: From Complex Evidence to Explainable Insights

A gemlike image of a whole Dobble graph model.

The Math and the Graph Behind a Popular Match Game

Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

News

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

Illustration of AI at the center of the bullseye

GenAI
News

Neo4j Invests $100 Million in GenAI and Launches Key Agentic AI Innovations

GraphRAG in Action: A Simple Agent for Know-Your-Customer Investigations

GraphTalk Pharma & Life Sciences 2025 — A Recap

Graph Analytics Applications and Use Cases