Session

Empower OpenAI with Vector Search for Optimal Performance and Cost Reduction

OpenAI is a powerful platform for the generation of different content, empowered by Generative AI,
However, using the latest models also brings additional costs to AI solutions.
One good option when you have reputable or similar requests is to keep your information in
a database with an optimized indexing approach to have the similarity between requests and reuse
in the most optimal way, the information that has already been generated.
In this session, you will learn how to use vector search in Azure SQL and Cosmos DB to empower the productivity of OpenAI-based solutions.

Mihail Mateev

Senior Solution Architect at EPAM Systems, Soft Project, Owner

Sofia, Bulgaria

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top