This guide will walk you through the process of enhancing language models using RAG architecture in Azure AI Studio. Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) capabilities, like those of GPTs, by integrating an information retrieval system. This addition grounds data and controls the context for the LLM’s response generation.
Introduction Azure Application Gateway provides a powerful solution for load balancing, SSL termination, and URL-based routing. In this blog post, we will discuss a common scenario where we need to forward traffic to two different Azure API Management instances based on the incoming URL, distinguishing between non-production and production environments. Problem Statement Consider a scenario where you have two separate instances of Azure API Management (Sku: any non consumption tier): one for non-production/testing (nonprod) and the other for production (prod). The requirement is to route incoming traffic through an Azure Application Gateway, forwarding requests to the appropriate API Management instance based on the path specified in the URL. Specifically, requests with the path /nonprod/* should be directed to the non-production API Management instance, while requests without this path should be forwarded to the production instance. ...
Context The requirement here is to be able to add dynamic menu items to a MAUI app. The use case chosen here is of selection of a font from a list of fonts installed on the machine. The list of fonts is shows under a menu item in the menu bar. More on menu bar from the Microsoft documentation Approach Step 1: Mark up The component to be used here is the MenuBarItem. This component support binding context of the content page. As part of the page markup, a menu item is added to the page and the “Choose Language” menu item is left blank, so that the menu items can be added after fetching it. ...
Context Powerapps Portal gives a quick and easy way to build public facing websites. Data in the portal is mostly fetched from Microsoft Dataverse using Powerplatform FetchXML or the portal’s Web API. These operations are secured using portal’s application session, as explained here. Often there are requirements to consume an externally hosted API, in this particular example an API hosted in Azure behind an API Management. With Javascript the only option to trigger an API, implementing a secret based authentication is out of scope. But there is an alternate approach. ...
Context While most of the application integration patterns are moving towards real-time, near-real-time and stream based solutions, there are still requirement to have batch file based data movement. These requirements are often for reporting or data warehousing scenario or while integrating with a legacy system. While there are many products that help setup SFTP server, Azure was missing a SaaS offering for hosted SFTP server, like Amazon’s AWS Transfer on top of S3. To host SFTP in Azure the customer has to setup their own SFTP workload either using a VM hosting an SFTP server and mounting the blob storage as a VM disk or hosting the SFTP server as a container on services like ACI and mounting the storage account. While hosting an SFTP VM is not a complex task, but it adds to the organization’s maintenance list, to keep it up and running, securing it and patching updates while maintaining uptime. ...
Introduction APIs have become so popular that almost all websites and applications rely on APIs to get data from server. Often user impersonation is used to authenticate as well as authorize access to the resource exposed by an API, but there are also use cases where application itself needs data from an API for functioning. Currently the most used authentication mechanism is OAuth, where identity management is performed by a third provider and both the client and resource server trusts this identity provider. While this works well, there is also another way to authenticate when the interaction is purely machine to machine, and works based on SSL certificates and is called Client Certificate Authentication. ...
Recently I had a requirement to make a copy of a Function App from the production version to support a POC implementation of an solution upgrade. One option was to deploy the Release branch which had the version same as in PROD (we already made updates to that function app post release, so DEV was already a lot of commits ahead). The challenge with this approach was, since we did not had a hotfix release, there were no Pipelines setup for Release branch. So we had to setup a pipeline, give the pipeline service account access to the POC resource group, then actually triggering the deployment. ...