What is the database behind ChatGPT?

Take advantage of Azure Cosmos DB for your AI-driven
applications. Seamlessly integrate with large language models
like ChatGPT, for real-time operational efficiency and limitless
scalability. With its built-in vector search engine and
multi-model support, Azure Cosmos DB for MongoDB vCore optimizes
for just-in-time data retrieval, so you can build cutting-edge
solutions at any scale.


Kirill Gavrylyuk, General Manager for the Azure Cosmos DB team,
joins Jeremy Chapman to share how you can increase performance
and cost-effectiveness, whether managing millions of users
globally or building smaller-scale apps.


 


QUICK LINKS:


00:00 - Get your database ready for AI with Azure Cosmos DB
02:33 - Solve for real-time data access requirements
03:39 - Automatic scaling
05:35 - How Azure CosmosDB works for copilot-style apps
06:38 - App using vectorized data
07:24 - Jupyter notebook demo
09:19 - Vector indexing and search in Cosmos DB
10:14 - Building a small copilot-style app
12:10 - Run smaller apps serverless
12:35 - Set maximum throughput thresholds
13:39 - Auto scale using Cosmos DB
14:38 - Wrap Up



Link References:


See how Cosmos DB vector search capabilities work at
https://aka.ms/CosmosVector 


Get a free trial at https://aka.ms/trycosmosdb 


 


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