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

RDF vs. Knowledge Graph: Choosing the Right Approach for Implementing Knowledge Graphs.

Knowledge Graph

RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph

Rdflib-Neo4j: A New Era in RDF Integration for Neo4j

Learn how the Neo4j graph database (vs. a triple store) performs as a reasonable RDF reasoning engine

Neo4j: A Reasonable RDF Graph Database & Reasoning Engine

Inside Analysis: The Graph Database and the RDF Database

GraphTalk Pharma & Life Sciences 2025 — A Recap

Is a Knowledge Graph a Graph Database?

LLM Knowledge Graph Builder Front-End Architecture

How to Build a Knowledge Graph

Knowledge Graph

How to Build a Knowledge Graph in 7 Steps

What is a knowledge graph?

What Is a Knowledge Graph?

Graph Exploration By All MEANS With mongo2neo4j and SemSpect

Node embeddings in a knowledge graph.

The Future of Knowledge Graph: Will Structured and Semantic Search Become One?

20 Episodes of Going Meta – A Recap on Semantics, Ontologies, and Knowledge Graphs