Combining the power of vector search with Azure OpenAI then revolutionize image search with vectors!

Part 1: Combining the power of vector search with function calling in Azure OpenAI service.

In this episode of the AI show, we’ll show how you can combine the capabilities of vectors in Azure Cognitive search with function calling in Azure OpenAI service. Function calling gives the latest versions of gpt-35-turbo and gpt-4 the ability to produce structured JSON outputs based on functions that you describe in the request. In this episode, you’ll learn how to work with function calling and how you can leverage function calling to create structured queries to send to retrieve data from your Azure Cognitive Search index.

Part 2: Revolutionizing Image Search with Vectors

Discover the game-changing potential of Azure Cognitive Search's Vector search feature (preview), which enables precise and efficient image retrieval by capturing semantic similarities between images. Delve into advanced image search functionalities like content-based image similarity, visual recommendations, and image clustering. Witness the transformative impact of pairing Azure Cognitive Search with Azure AI Vision, as we elevate image search applications and the user experience navigating visual content.

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[RobertoMartin]

Interesting...could you somehow use these ideas to approximate a sql search across different fields/"tables"?

[yelxito]

The video quality is pretty horrible....I could barely see the actual code. This is an hour show and I was expecting to see the dev setup from end-to-end and also please use a real world example (preferably enterprise) instead of recipes as rarely any enterprise dev will be designing a recipe system.