Search for a command to run...
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
In this blog post, we will explore two interesting approaches for integrating C# native functions with Semantic Kernel. Let’s assume you have a C# function called HelloUserand this function takes the
Prompt injection attacks are broadly categorized into two major types: 1. Natural Language Patterns These are prompt injections are written in human-like instructions that try to manipulate the model
My last two blogs on Semantic Kernel were focused on laying foundations of basics of Semantic Kernel. They primarily highlighted Dependency Injection and ChatCompletion services of Semantic Kernel. In
