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We all know that LLM backed agents scale at on demand execution. They perform well when prompted, execute tasks and return results almost instantly. But not all business all problems are request-drive
My previous article explored how to leverage Dependency Injection (DI) for function calling. However, that approach was limited because of its ability to execute a single function per request with no
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/
