Finally, the moment has come, AI and Machine Learning has shifted left. Developers can now take advantage of sophisticated, of the shelf, machine learning models to power the transformative applications of the future. With Atlas Vector Search you can add Semantic Search to your applications with ease. Or if you're building out the next generation of Large Language Powered Applications you can use Vector Search to give them long term memory with vector search over your rich applications data. MongoDB Atlas Vector Search provides a lightning fast approximate nearest neighbor search through high dimensional data that you can capture directly in your MongoDB documents. This talk will explain the core concepts of High Dimensional Vectors, recent advancements in Machine Learning, and how you can take advantage of our new Vector Search capability along with popular open source frameworks (e.g. LangChain) to add exciting new functionality to your application .