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My previous article on Microsoft Agent Framework (MAF) was focused on Dependency Injection (DI) in MAF. In that article I demonstrated how AIToolscan be registered in the service container through DI
After working on Semantic Kernel (SK) for sometime and then gradually shifting focus towards Microsoft Agent Framework (MAF), I’ve personally started to like MAF over SK. Implementation through SK had
Recently I stumbled across a newly introduced Fabric API that lets you transfer the lake house ownership from User Identity to associated identity (Service Principal or Managed Identity ) but the limi
In one of my earlier article, I demonstrated how to leverage DatalakeServiceClient to create and modify files in a Lakehouse within Microsoft Fabric. Similarly, we can use DatalakeServiceClient for op
My previous article was focused on how to set up the Azure AI search service and the underlying components to query unstructured data stored on a Fabric lakehouse. You can out check that article here.
OneLake now offers a REST API to interact with Delta table on Microsoft Fabric. With these API's now its possible to fetch metadata of underlying tables. https://youtu.be/HYvJUevlHU8 These API's are
Since it was difficult to explain all the steps clearly with screenshots in the article, I decided to create a video that walks through the process and makes it easier to understand. https://youtu.be/
This is a part 2 article of the Liquid format for Semantic Kernel Prompts. In part 1 we delved into the basic building blocks of how liquid template can be organized for rich and user friendly respons
This article will focus only defining the pieces of the Liquid Prompt template and how different components fit in context with the example in an earlier article. My earlier article focused on generat
