Microsoft Fabric Updates Blog

Using Microsoft Fabric’s Lakehouse Data and prompt flow in Azure Machine Learning Service to create RAG applications

Microsoft Fabric’s Lakehouse helps us better unified management of enterprise-level data environments. In the process of transforming to AI, we cannot do without the assistance of these enterprise data. In my previous blog, I mentioned how to build RAG applications based on data in the Microsoft Fabric environment. In this post, I will introduce how … Continue reading “Using Microsoft Fabric’s Lakehouse Data and prompt flow in Azure Machine Learning Service to create RAG applications”

Chat your data in Microsoft Fabric with Semantic Kernel

Using Microsoft Fabric’s Lakehouse we can manage different data sources. Today Microsoft Copilot is very popular, and we hope that Microsoft Fabric can become an indispensable part of enterprise data management and make it easier for enterprise data to connect with LLM. This blog will combines data engineering and data science perspectives to construct Copilot … Continue reading “Chat your data in Microsoft Fabric with Semantic Kernel”

Use Semantic Kernel with Lakehouse in Microsoft Fabric

Microsoft Fabric allows enterprises to bind different data sources through OneLake, and data engineer can call a unified API for different business scenarios to complete data analysis and data science. This article will describe how to allow data scientists to use Semantic Kernel with Lakehouse in Microsoft Fabric In Microsoft Build 2023, Microsoft proposed the … Continue reading “Use Semantic Kernel with Lakehouse in Microsoft Fabric”