Join Scott Hanselman, Kirill Gavrylyuk, and James Codella to learn about Azure Cosmos DB's built-in vector search capabilities, how customers are using it in their AI apps, and how you can easily get started today. Chapters 00:00 – Introduction 02:05 – Overview with Kirill Gavrylyuk 06:46 – Real world example: Asos 09:12 – Retrieval Augmented Generation (RAG) 11:57 – Demo setup with James Codella 15:00 – Deploy to Azure 16:53 – Azure OpenAI Studio 26:19 – Graduating from the Chat Playground 29:13 – Wrap-up Resources ■ Vector database - Azure Cosmos DB – https://aka.ms/azfr/764/01 ■ Azure OpenAI On Your Data – https://aka.ms/azfr/764/02 ■ Azure / Vector-Search-AI-Assistant-MongoDBvCore – https://aka.ms/azfr/764/03 ■ Try Azure Cosmos DB for free – https://aka.ms/azfr/764/04 ■ Introducing the General Availability of Vector Search in Azure Cosmos DB for MongoDB vCore! – https://aka.ms/azfr/764/05 ■ Create a Pay-as-You-Go account (Azure) – https://aka.ms/azfr/764/payg ■ Create a free account (Azure) – https://aka.ms/azfr/764/free Connect with us ■ Scott Hanselman | @SHanselman – https://twitter.com/shanselman ■ Azure Cosmos DB | @AzureCosmosDB – https://twitter.com/azurecosmosdb ■ Azure Friday | @AzureFriday – https://twitter.com/azurefriday ■ Azure | @Azure – https://twitter.com/azure #microsoft #azure #azurefriday