Neo4j Blog

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Learn how the Neo4j Graph Intelligence Platform provides the relational context that production-grade AI and enterprise analytics need.

Context graphs: Why AI agents need three types of memory

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

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

What’s invisible in your supply chain could cost you

Featured Voices

Emil Eifrem

CEO & Founder, Neo4j

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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

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

GraphRAG Field Guide: Navigating the World of Advanced RAG Patterns

Building a Movie Recommendation System With Neo4j

Knowledge Graphs and LLMs: Fine-Tuning vs. Retrieval-Augmented Generation

Vectors and Graphs: Better Together

Hybrid Retrieval for GraphRAG Applications Using the GraphRAG Python Package

Developer

Neo4j Python Driver 10x Faster With Rust

Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments

AuraDB
News

Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments

Querying Your Neo4j Aura Database Via HTTPS (Again)

Change Data Capture and Neo4j Connector for Confluent and Apache Kafka Go GA

What is generative AI?

GenAI

What Is Generative AI?

Running Neo4j on a Commodore 64