When we create a Fabric Lakehouse, a SQL Server connection string is created automatically. This connection string can be used to query Lakehouse tables! This post walks through the code to create a C# app that reads data from a Lakehouse table.
This video is an end--to end walk through using Microsoft Copilot Studio to create a custom Microsoft Teams copilot that answers questions about organizational data. The walk through starts from scratch and ends with a finished Copilot published to a Teams channel.
We can use the Power BI Python client to display a Power BI report right in a Jupyter notebook in Fabric. This video shows how to do this voodoo magic!
My playlist of important AI practitioner focused sessions from Microsoft Ingnite 2023
This is a quick demo of how I use Bing Image Creator and Photoshop Generative AI together to create AI-generated images.
This post discusses Azure AI Search integrated vector embeddings for Retrieval Augmented Generation (RAG) when using a large language model for generative AI Q&A solutions, and provides steps to build a vector index using Azure AI Search.
This post is an end-to-end tutorial showing how to containerize a Python-based Streamlit data app with Docker and publish it as an Internet-facing web app using Azure Container Registry and Azure App service.
This post discusses how to create vector embeddings for documents that are too large to fit into a single embedding vector by chunking data using text splitting. This technique is commonly used when designing Generative AI solutions using Large Language Models.
This post explains how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development in Fabric Data Science.