Azure Cosmos DB is a distributed NoSQL database providing unmatched availability, performance and scalability and now offers vector database capabilities developed by Microsoft Research for building AI applications with industry-leading performance and scale.

In this session we’ll dive straight into vector embeddings, and what makes them different and so powerful for search. We will show how Azure Cosmos DB enables you to store your data and vectors together and perform blazing-fast vector search at an enormous scale, using native SDKs as well as Semantic Kernel and LangChain in both C# and Python.

We will then tie all this together with more demos showing how Azure Cosmos DB can be leveraged for RAG, chat history, and semantic caching to elevate your generative AI applications to the next level. If you want to learn how to build the next generation of AI-enabled applications, attend this session to accelerate your AI readiness for the future!