Neo4j Blog

GenAI
News

2025: Year of AI and Scalability

Discover how 2025 marked Neo4j’s evolution from a graph database and analytics leader into the world’s premier graph intelligence platform.

Agentic AI

Useful AI Agent Case Studies: What Actually Works in Production

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect Fraud Faster With a Transaction Graph

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

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

Real-Time Recommendations

Unlocking High-Conversion Recommendations with Graph Analytics in Snowflake

Find Similar Patient Journeys With Neo4j Aura Graph Analytics

Illustration showing how vector similarity, Cypher templates, and text-to-Cypher meet to create the Aura Agent

GenAI
News

Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes

Graph Database

What Is a Graph Database?

Improve GenAI Challenges on AWS with Graph Technology

Neo4j Graph Analytics for Snowflake: Bringing Graph-Powered Insights to the AI Data Cloud

Graph Analytics Applications and Use Cases

Introducing Neo4j Aura Graph Analytics: Scalable, Easy-to-Deploy Graph Analytics for Any Data Source

Top 10 Graph Database Use Cases (With Real-World Case Studies)

GraphRAG in Action: From Commercial Contracts to a Dynamic Q&A Agent

Turn Your CSVs Into Graphs Using LLMs

Spreading the Savings Like Mayo: How Knowledge Graphs Can Transform Invoice Data and Lower Costs