BCC35: Vector and Hybrid Search using OpenAI in Azure Cognitive Search

Today, I am thankful for the chance to have presented at Boston Code Camp 35 (#BCC35) Vector and Hybrid Search using OpenAI in Azure Cognitive Search. The turnout and the engagement level of the attendees were both highly impressive and gratifying.

Talk Description

Discover the power of Vector Search using OpenAI in Azure Cognitive Search through a comprehensive .NET application tutorial. This presentation will delve into the intricacies of integrating Azure OpenAI with your .NET applications, focusing specifically on creating and utilizing vector embeddings. Learn how to effectively harness the capabilities of Azure OpenAI for generating precise vector embeddings, which are crucial for enhancing search functionalities in your applications. We will explore the concept of Hybrid search, demonstrating how it combines traditional keyword search with advanced vector search to provide more relevant and context-aware results. This session is designed to equip developers with the knowledge and skills to implement state-of-the-art search capabilities in their .NET applications, leveraging the cutting-edge AI and machine learning technologies that Azure OpenAI provides.

Meeting URL

https://www.bostoncodecamp.com/CC35/Sessions

Video

Link to a post-recorded session coming soon

The Deck

Demo Script

https://github.com/nhcloud/demo