This document discusses how graph databases like Neo4j can power real-time product recommendations by analyzing customer purchase histories and current choices. It provides examples of companies like Walmart, Glassdoor, and dating sites using Neo4j to generate personalized recommendations by linking customer and product data relationships. The key advantage of graph databases is the ability to store and quickly query both data and relationships for real-time recommendations.