Latest
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Deploying MCP Servers with Azure Container Apps
In this article, we explore how to deploy and run multiple Model Context Protocol (MCP) servers using Azure Container Apps. We’ll demonstrate how to enable AI agents to dynamically interact with tools like weather data, energy services, and hybrid document search, using LangGraph and Semantic Kernel for seamless integration. Read more
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The Perfect AI Team: Azure Cosmos DB and Azure App Service
AI advancements are impressive, and their true impact emerges when seamlessly integrated into business processes. Azure Cosmos DB and Azure App Service create the perfect… Read more
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Chat History with Azure Cosmos DB and Semantic Kernel
In conversational AI, maintaining chat history across sessions and devices is key to delivering seamless user experiences. This article explores how Azure Cosmos DB, in… Read more
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Enhance Customer Support with Semantic Kernel and Azure OpenAI
This article explores an Azure OpenAI RAG Customer Support Solution built with .NET, Semantic Kernel, Azure AI Search, Cosmos DB, and Bicep for simplified resource… Read more
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Creating Intelligent Systems for Jira with Azure OpenAI and AI Search
This article explores an advanced LLM application that leverages Azure AI Search and Azure OpenAI Service for efficient Jira issue management. It covers prerequisites, objectives,… Read more
Curated Materials
Issue 1 – June 2024
This guide provides essential tips and best practices for managing and optimizing partitioning in Azure Cosmos DB.
Guided Journey – July 2024
Azure Machine Learning
This guide provides a comprehensive walkthrough for using Azure Machine
Learning to build a classification model based on risk data pulled from Azure.
Archives
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RMarkdown flexdashboard – Test Drive
The other week I started working with flexdashboard to see if I could create some interactive R Shiny Dashboards. If you have worked with RMarkdown and Shiny before then flexdashboard is fun and easy, if not, then some additional explanations and references may be required to ensure you are having as much fun as I Read more
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Forecasting and Python Part 1 – Moving Averages
The content introduces a series on forecasting with Python, starting with moving averages and aiming to end with ARIMA models. It covers code, forecasting errors, and comparing methods. It highlights the challenges and improvements in using moving averages for forecasting. Read more
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Processing Big Data Files With R
Using R to sequentially group and sample a big data file for processing Read more
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Using R and Google Places API to Geocode Locations
Using Google Places Web API to Geocode when address is not known. Read more
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Python-Custom Distance Radius with Basemap
In a Python project, coverage gaps in emergency transportation were visualized using circles with radius indicating miles. The Haversine Formula was used for rendering. Read more
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R – xTable Custom Column Header Rotation
Using LaTeX to format xtable column headers displaying R data.table results. Read more
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R – Using DoParallel to Significantly Speedup Database Retrieval
How R doParallel enabled performance gains on project with data latency issues Read more
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