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
