The article introduces the new Vector Search feature in MongoDB Atlas Developer Data Platform, which enables developers to create intelligent applications with semantic search and AI capabilities. The feature allows users to query their data based on its meaning or significance, rather than just its content, using numerical vectors that can be compared to find similar values. This functionality is integrated into the existing platform without requiring additional setup, stack, syntax, or infrastructure, making it easier for developers to create applications with AI-powered features. The Vector Search feature aims to overcome common challenges in data security and scalability, providing a reliable and efficient solution for building intelligent applications.