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.

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

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

Turn Your CSVs Into Graphs Using LLMs

Supply Chain & Logistics

What Are the Types of Supply Chain Management Software – And How Do You Choose the Right One?

GraphRAG – The Card Game

Neo4j Graphs, Acceleration Frameworks, and Recommendations: A Winning Trio

Vector + GraphRAG Architecture

Building a GraphRAG Agent With Neo4j and Milvus

The Limitations of Text Embeddings in RAG Applications

Enhancing Hybrid Retrieval With Graph Traversal Using the GraphRAG Python Package

Developer

Making Relations on the Titanic

Developer

Modeling Data From the Titanic

Neo4j Takes the Lead: Transforming Graph Database Management With Cypher API Versioning and Database Calendar Versioning

Elevate Fraud Detection With Neo4j on AWS: Uncover Hidden Patterns and Enhance Accuracy

The Ethics of Generative AI: Understanding the Principles and Risks