Session
Building a recommender using OpenAI, .NET and Azure SQL
In this fun and demo-driven session you’ll learn how to integrate Azure SQL with OpenAI to generate text embeddings, store them in the database, index them and calculate cosine distance to build a session recommender. And once that is done, you’ll publish it as a REST and GraphQL API to be consumed by a modern JavaScript frontend built with React. Sounds pretty cool, uh? Well, it is!
Davide Mauri
Microsoft, Principal Product Manager
Redmond, Washington, United States
Links
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