The document discusses a hackathon held to develop a recommendation system using graph databases and microservices. The team created relationships between vertices like products and users to generate recommendations based on similarity. They built the system using MongoDB, MySQL, and other technologies. It was then deployed on a client's website to test in a real-world environment. Next steps include scaling the system and analyzing the graph data.