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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
Lets take a scenario where you have an MAF (Microsoft Agent Framework) AIAgent that has tool calls to multiple AIFunctions. You definitely wouldn't want an AIAgent to blindly invoke every available to
Imagine a scenario where you have an AI agent that needs to access Azure services, such as Azure Storage. Simply granting the agent open and unrestricted access to Azure resources is not an option. Do
The tittle sounds confusing right ? So how to access Azure services with federated credentials that are tied with User Managed Identities ? Even I was skeptical if it is even possible because its more
My earlier article on securing Azure Storage in ASP.NET core Minimal API's extensively leveraged RBAC access control and through Microsoft Entra ID for user sign-in through OpenID Connect (OIDC) to au
