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 Recommended resources Vector database - Azure Cosmos DB Azure OpenAI On Your Data Azure / Vector-Search-AI-Assistant-MongoDBvCore Try Azure Cosmos DB for free Introducing the General Availability of Vector Search in Azure Cosmos DB for MongoDB vCore! Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter/X: @SHanselman Azure Cosmos DB | Twitter/X: @AzureCosmosDB Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure
No persons identified in this episode.
No transcription available yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster