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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LangChain RAG with React, FastAPI, Cosmos DB Vector: Part 2
The LangChain RAG Pattern series, part 2, explores FastAPI interface creation for enhanced application functionality and user experience. It delves into leveraging FastAPI’s capabilities for efficient request handling and optimal performance, paving the way for a comprehensive LangChain RAG implementation. Read more
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LangChain RAG with React, FastAPI, Cosmos DB Vector: Part 1
Discover the first installment of our LangChain RAG Pattern series, unraveling the integration of React, FastAPI, and Cosmos DB Vector Store. Learn to load documents and blobs for seamless application development. Read more
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LangChain Vector Search with Cosmos DB for MongoDB
A comprehensive guide on using LangChain to set up a vector store and perform vector search on Azure Cosmos DB for MongoDB vCore using Python. Includes instructions on prerequisites, setting up Python, loading data into Cosmos DB, creating a search index, and executing a vector search query. Read more
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Azure Prompt Flow with Vector Search
Learn how to create an Azure Machine Learning Prompt Flow to ask questions using a Weaviate vector database. Set up connections, create a Q&A flow, add a Weaviate Python Client, and run the workflow. Read more
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Prompt Flow Connection to OpenAI
We will explore integrating Azure Machine Learning Prompt Flow with OpenAI to leverage advanced machine learning and innovative technologies. This article guides readers through creating an OpenAI API key, setting up the Prompt Flow connection, and using Azure’s infrastructure with OpenAI solutions. The walkthrough lays the foundation for harnessing combined potential, enhancing predictive modeling, and… Read more
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Setting up Weaviate on Azure with Multi-Container App
I’ll walk you through the step-by-step process of setting up Weaviate on Azure using Docker Compose and Azure Multi-Container App. We’ll cover everything from creating a resource group and an App Service plan to configuring Docker Compose files, validating deployments, ensuring persistent storage, and providing hands-on instructions for conducting vector search with Weaviate. Additionally, I’ll… Read more
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Faster R-CNN Unleashed: Crafting an End-to-End Solution for Damage Detection
Discover the potential of Faster R-CNN in computer vision with our latest article. Dive into the creation of a robust AI damage detection system, utilizing custom object detector models based on Faster R-CNN with PyTorch. Learn to identify and localize objects like shipping containers while minimizing false positives using synthetic data. Read more
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Getting Started with Weaviate: Setting Up and Securing Your Instance with Docker Compose, Nginx, and Let’s Encrypt
The article provides a detailed guide on how to set up Weaviate, an open-source vector database, using Docker Compose. It further explains securing the setup with Nginx and Let’s Encrypt. The post emphasizes data security and efficient data management. It outlines the roles of crucial components and provides a step-by-step approach for implementation, starting from… Read more
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Spam Detection with Azure Automated ML
Learn to leverage Azure Machine Learning to build a Spam classification model. We will be covering resource creation, dataset downloading, model training, and deployment—offering a comprehensive end-to-end process for efficient Spam identification and removal. Read more
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Using Azure Open Datasets with Databricks
Azure Open Datasets offer easy access to curated public datasets for data & AI projects. This post shows how to use Azure Open Datasets with Databricks to load a NOAA weather dataset. It also explains setting up Databricks and creating a cluster. Read more
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