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Imagine a scenario where you are having a conversation with an AIAgent and asking it for the latest execution details of a Microsoft Fabric data pipeline. The agent retrieves the execution details and
The first article on this topic was focused on setting up an Azure Function for MCP and ways to leverage IMemoryCache to reduce redundant API calls. In this article, we will explore how to set up an M
I am currently working on my own custom MCP implementation of Fabric Data Factory for Microsoft Fabric. While working on it, I came across an unique problem where I was making the calls to the same AP
My blogs in the past were focused on Microsoft Agent Framework(MAF) agent integration with Microsoft services like Microsoft Azure, Microsoft Fabric and other M365 service like Microsoft Purview. The
Earlier this year I had published an article on implemention of InMemory Vector Embeddings in Semantic kernel. At that time my focus was to understand how vector embeddings can be used in Semantic Ker
Disclaimer : If you think that I used a coding assistant to develop this MCP endpoint, then sorry I have to disappoint you :) because the core of this approach is ingrained into the application logic
Microsoft Fabric is revolutionizing the data analytics space and is bringing together data integration, data engineering and data analytics under a unified platform. This reduces overall complexities
The title of the article is not clickbait. It is intentional. There is a very specific reason behind it. I will explain the reason, the problems and why I think that the title reflects what I am about
My previous article on Chat History in Microsoft Agent Framework focused on storing and retrieving chat history using a file-based approach.The intention of that article was to provide a simple introd