Plan your Azure Cosmos DB & DocumentDB sessions at Microsoft Ignite 2025. Learn real-time analytics, AI, and meet experts.

Discover how to run cross-database queries with Azure Cosmos DB in Microsoft Fabric. This tutorial shows you how to connect and query NoSQL data alongside SQL data using the SQL Analytics Endpoint. Learn how to unify multiple data sources, simplify analytics, and unlock insights by combining Cosmos DB in Fabric with SQL in Fabric—all within one powerful platform. Perfect for developers, data engineers, and analysts working with cloud databases, real-time analytics, and scalable applications. #AzureCosmosDB #MicrosoftFabric #NoSQL #SQL #DataIntegration #CloudComputing #Analytics

Azure Advisor offers personalized guidance to help you fine-tune your Azure Cosmos DB setup. This video highlights key recommendations—like SDK upgrades, saving more with reserved capacity, upgrading to TLS 1.2 or higher, and indexing recommendations—that can drive better performance and cost savings. Perfect for developers, architects, and cloud engineers. (Docs) Automated recommendations for Azure Cosmos DB - https://msft.it/63328s7TIa

Developers love GitHub Copilot for its instant, intelligent code suggestions. But what if those suggestions could also reflect your specific database and workload patterns? That’s now possible with a new feature in Azure Cosmos DB for VS Code. Starting today, when you connect to your Cosmos DB account in VS Code, the extension automatically deploys […]

Local large language models (LLMs) provide significant advantages for developers and organizations. Key benefits include enhanced data privacy, as sensitive information remains entirely within your own infrastructure, and offline functionality, enabling uninterrupted work even without internet access. While cloud-based LLM services are convenient, running models locally gives you full control over model behavior, performance tuning, […]

Quickstart showing how to an Azure Cosmos DB database and a container using Terraform

At Microsoft Build 2025, James Codella, Ph.D. demonstrates how to easily bring your own thread storage for AI agents using Azure Cosmos DB and the Azure AI Agent Service. In this session, you'll learn how to use Bicep templates from the Azure AI Foundry samples library to set up your environment, connect your agent instances to Azure Cosmos DB, and persist agent thread and session data—including inputs, outputs, tool usage, and more. 🔍 Key highlights: * Seamless setup of thread storage with Azure Cosmos DB * Persist chat histories and agent metadata * Use thread data for context retention and downstream analysis * Full visibility and control over agent interactions * Supports GPT-4.0 Mini and the Agent Playground in AI Foundry Whether you’re building agentic applications or need persistent conversational context at scale, Azure Cosmos DB makes it easy and cost-effective to manage AI threads with speed, security, and flexibility. 🔗 Try it out: https://msft.it/63321sxPa5 #AzureCosmosDB #MicrosoftBuild #AgenticAI #AIApplications #AzureAI #ThreadStorage

In this quick and informative video, Mark Brown, Microsoft Principal PM Manager for Azure Cosmos DB, explains embeddings—the mathematical representations that capture the meaning of words, images, and documents as vectors in multi-dimensional space. You'll learn: • How embeddings work and why they are essential for applications like ChatGPT, recommendation engines, and image search • How objects with similar characteristics are placed close to each other in vector space • The role of embeddings in vector search and Retrieval-Augmented Generation (RAG) applications Want to dive deeper? Check out our samples gallery for documentation, videos, and examples on GitHub. #AzureCosmosDB #AI #VectorSearch Useful links: • Azure Cosmos DB Samples Gallery - https://msft.it/63328sxPSa • Try Azure Cosmos DB for free - https://msft.it/63320sxPSI • Azure Cosmos DB TV - https://msft.it/63323sxPSF • Subscribe to Azure Cosmos DB on YouTube - https://msft.it/63326sxPS4 • Follow Azure Cosmos DB on X - https://msft.it/63329sxPS7 • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63323sxPsB

Mike Calvin, CTO of Kinectify, shares how his team uses Azure Cosmos DB as the operational data store powering their anti-money laundering compliance platform for the gaming industry. Ingesting millions of transactions per day from leading casinos and gaming organizations, Kinectify analyzes activity for potential risk and supports clients in preparing regulatory filings. Mike explains how Cosmos DB provides the scalability and performance needed to handle large-scale data ingestion with ultra-low latency. Its flexibility has enabled their team to scale from gigabytes to terabytes in just over a year while accelerating development and simplifying deployment—eliminating the overhead of schema changes and relational constraints. --- Azure Cosmos DB Conf is a free virtual developer event co-organized by Microsoft and the Azure Cosmos DB community. This is our fifth Azure Cosmos DB Conf. Sessions are a combination of Microsoft and community delivered. Come and learn more about Azure Cosmos DB. See what others in the community are building. April 15, 2025 9AM – 12PM PT To explore all sessions, visit: https://msft.it/63321sxPl3 🔗 Useful Links • Azure Cosmos DB Conf 2025 Website – https://msft.it/63324sxPlu • Evaluate Azure Cosmos DB Conf 2025 Sessions - https://msft.it/63327sxPlT • Subscribe to Azure Cosmos DB on YouTube – https://msft.it/63320sxPln • Follow Azure Cosmos DB on X – https://msft.it/63323sxPlZ • Follow Azure Cosmos DB on LinkedIn – https://msft.it/63325sxPlb #AzureCosmosDBConf #AzureCosmosDB

This sample shows how to use a Cosmos DB Trigger in Azure Functions Triggers (C# or Python) to automatically generate embeddings on data on new or updated data. - AzureCosmosDB/cosmos-embeddings-ge...

This repository contains a collection of sample implementations of the MCP across multiple programming languages, all backed by Azure Cosmos DB. These examples demonstrate how to create, query, up...

by Artur Drozdz, Founder of Record Scanner (https://msft.it/63320sWM0k) If you’re like me, there’s at least one room in your home with an entire cabinet dedicated to your growing vinyl collection. At this point, you’ve probably heard that vinyl is making a comeback, it’s not just vintage anymore. In fact, after hitting a low during the […]

Deploy a Node.js Express web application that uses the Azure SDK for Node.js to interact with Azure Cosmos DB for NoSQL data in this quickstart.

One Hub, Total Control - Azure Cosmos DB

This hands-on workshop teaches participants to build cost-effective evaluation systems for RAG applications using Azure Cosmos DB's vector search capabilities. Attendees will learn to implement semantic caching techniques that significantly reduce LLM evaluation costs while maintaining fast query performance. Participants will create a complete evaluation pipeline that measures retrieval quality, answer accuracy, and system performance using industry-standard metrics. By the end of this session, attendees will have production-ready code and benchmarking tools that can scale across different deployment environments. #AzureCosmosDB #LLM #AI Useful links: • (GitHub) Azure Cosmos DB LLM Evaluation - https://msft.it/63323sZMZS • Subscribe to this channel - https://msft.it/63325sZMZt • Check out past meetups on YouTube to catch anything you might have missed - https://msft.it/63327sZMZv • Want to present at a future meetup? Fill out our intake form - https://msft.it/63329sZMZx • Try Azure Cosmos DB Free - https://msft.it/63321sZMZL • Microsoft Reactor - https://msft.it/63323sZMZF • Follow Azure Cosmos DB on X - https://msft.it/63325sZMZN • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63327sZMZf Speaker: Farah Abdou Farah Abdou is a Machine-learning engineer, STEM advocate, and international tech speaker whose work bridges artificial intelligence research with large-scale industrial deployment. Best known for her contributions to natural-language processing (NLP), quantum reinforcement learning (QRL), and cloud-native AI systems, She has become a prominent voice for open-source innovation and women’s representation in technology across the Middle East and North Africa (MENA) region

This hands-on workshop teaches participants to build cost-effective evaluation systems for RAG applications using Azure Cosmos DB's vector search capabilities. Attendees will learn to implement semantic caching techniques that significantly reduce LLM evaluation costs while maintaining fast query performance. Participants will create a complete evaluation pipeline that measures retrieval quality, answer accuracy, and system performance using industry-standard metrics. By the end of this session, attendees will have production-ready code and benchmarking tools that can scale across different deployment environments. #AzureCosmosDB #LLM #AI Useful links: • (GitHub) Azure Cosmos DB LLM Evaluation - https://msft.it/63327sZMpv • Subscribe to this channel - https://msft.it/63329sZMpx • Check out past meetups on YouTube to catch anything you might have missed - https://msft.it/63321sZMpL • Want to present at a future meetup? Fill out our intake form - https://msft.it/63323sZMpF • Try Azure Cosmos DB Free - https://msft.it/63325sZMpN • Microsoft Reactor - https://msft.it/63327sZMpf • Follow Azure Cosmos DB on X - https://msft.it/63328sZMpA • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63320sZMpC Speaker: Farah Abdou Farah Abdou is a Machine-learning engineer, STEM advocate, and international tech speaker whose work bridges artificial intelligence research with large-scale industrial deployment. Best known for her contributions to natural-language processing (NLP), quantum reinforcement learning (QRL), and cloud-native AI systems, She has become a prominent voice for open-source innovation and women’s representation in technology across the Middle East and North Africa (MENA) region

This hands-on workshop teaches participants to build cost-effective evaluation systems for RAG applications using Azure Cosmos DB's vector search capabilities. Attendees will learn to implement semantic caching techniques that significantly reduce LLM evaluation costs while maintaining fast query performance. Participants will create a complete evaluation pipeline that measures retrieval quality, answer accuracy, and system performance using industry-standard metrics. By the end of this session, attendees will have production-ready code and benchmarking tools that can scale across different deployment environments. #AzureCosmosDB #LLM #AI Useful links: • (GitHub) Azure Cosmos DB LLM Evaluation - https://msft.it/63325sZMRU • Subscribe to this channel - https://msft.it/63326sZMRq • Check out past meetups on YouTube to catch anything you might have missed - https://msft.it/63329sZMRt • Want to present at a future meetup? Fill out our intake form - https://msft.it/63321sZMRv • Try Azure Cosmos DB Free - https://msft.it/63323sZMRx • Microsoft Reactor - https://msft.it/63326sZMR0 • Follow Azure Cosmos DB on X - https://msft.it/63328sZMR2 • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63320sZMR4 Speaker: Farah Abdou Farah Abdou is a Machine-learning engineer, STEM advocate, and international tech speaker whose work bridges artificial intelligence research with large-scale industrial deployment. Best known for her contributions to natural-language processing (NLP), quantum reinforcement learning (QRL), and cloud-native AI systems, She has become a prominent voice for open-source innovation and women’s representation in technology across the Middle East and North Africa (MENA) region

This repository contains a collection of sample implementations of the MCP across multiple programming languages, all backed by Azure Cosmos DB. These examples demonstrate how to create, query, up...