Create Generative AI Apps with Azure AI Search Integrated Vector Embeddings

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.

Publish a Streamlit Data App with Docker and Azure Container Registry

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.

Chunking Text to Vector Embeddings in Generative AI Solutions

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.

Fabric Semantic Link: Power BI as a Machine Learning Data Source

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.

Using IBM Watson Studio with Jupyter Machine Learning Notebooks

This post walks through the creation of a machine learning Jupyter notebook using IBM Watson Studio. The post illustrates the process step-by-step and includes an embedded video demo.