Learn how to set up role-based access control for Azure Cosmos DB for NoSQL accounts and data. Enhance security for your applications with step-by-step guidance.

Introduction In a microservices architecture, we often publish events. Thousands or even hundreds of thousands of events are published to notify other services about changes: a user created a profile,

Part of the Modern AI Apps with Azure Cosmos DB Series.What happens when you move beyond autocomplete and start building applications with an AI coding agent...

What happens when the database becomes an active participant in AI applications instead of just a place to store data? In this session of The Ravit Show, I sat down with Jay Gordon and Patty Chow to unpack the biggest announcements and takeaways from CosmosDB Conf!!!! One theme stood out throughout the conference: AI is not just changing applications. It's changing the database itself. We discussed: - How OpenAI scales from zero to millions of queries per second - Why Walmart relies on globally distributed architectures to keep checkout systems running during failures - How vector search, full-text search, and hybrid search are becoming native database capabilities - The rise of agent memory architectures and AI-native applications - Why developers need real-time visibility into query costs - How to think about CosmosDB vs Azure DocumentDB based on workload requirements - What the Azure CosmosDB Agent Kit means for developers building AI-powered systems One of my biggest takeaways was that retrieval is increasingly moving into the database layer itself. Instead of stitching together multiple services, developers can now work with a more unified approach to search, AI, and data. If you're building AI applications, working with data infrastructure, or trying to understand where databases are headed next, this conversation is worth watching. The full interview is now live. What was your biggest takeaway from CosmosDB Conf this year? #data #ai #azure #cosmosDB #microsoft #api #microservices #theravitshow

Azure Backup for Azure Cosmos DB delivers immutable backups, long-term retention, centralized management, and flexible restore options in public preview.

Azure Cosmos DB Conf 2026 is a free, global, developer first conference focused on building high scale, distributed, and AI powered applications with Azure C...

Azure Cosmos DB Conf 2026 is a free, global, developer first conference focused on building high scale, distributed, and AI powered applications with Azure C...

Azure Cosmos DB Conf 2026 is a free, global, developer first conference focused on building high scale, distributed, and AI powered applications with Azure C...

Explore Azure Cosmos DB and Azure Functions for serverless development with automatic scaling and cost efficiency.

Azure Advisor is a built-in optimization service that helps you get the most out of your Azure resources—with minimal effort. In this video, we focus on performance recommendations and show how Azure Advisor continuously analyzes your workloads, configuration settings, and operational telemetry to deliver personalized insights. You’ll see how Azure Advisor surfaces actionable recommendations for Azure Cosmos DB, including indexing insights that help your applications run faster and more efficiently. Because Azure Advisor continuously monitors your Azure Cosmos DB workloads, you always get fresh, up-to-date recommendations as your traffic and data grow. By applying a few targeted updates based on these insights, you can significantly improve the speed, efficiency, and scalability of your Cosmos DB applications—without guesswork. Topics covered: - What Azure Advisor is and how it works - Performance recommendations in the Azure portal - Azure Cosmos DB indexing insights - Maintaining peak performance as workloads scale Full Blog Post: https://msft.it/63325QpW2H #Azure #AzureAdvisor #AzureCosmosDB

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...

A quick explainer on multi-agent patterns and why they are useful. Multi-agent AI refers to systems where multiple specialized agents, often powered by large language models (LLMs), collaborate to solve complex tasks. This approach is gaining traction across engineering, healthcare, and enterprise AI because it offers modularity, scalability, and precision. Try out these samples: OpenAI Swarm with Python: https://msft.it/63328sdQOn LangGraph (Python) and Semantic Kernel (C#): https://msft.it/63322sdQOw Spring AI (Java): https://msft.it/63323sdQOb #azurecosmosdb #AI

Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development and AI Apps. Developers can build NoSQL and MongoDB applications, and migrate their MongoDB workloads to Azure Cosmos DB, and enjoy instant and dynamic scalability, single-digit millisecond response times, and up to 99.999% high availability, backed by SLAs.

Explore how to use Python with Azure Cosmos DB in this comprehensive video series for beginners. Gain confidence in querying techniques.

On this episode of the AI Show, James Codella joins Seth to discuss Scaling Multi-Agent AI Apps with Azure Cosmos DB. As generative AI apps move from simple prompt-based tools to sophisticated multi-agent systems, having a unified, cost-effective, and massively scalable data backbone is more important than ever. Azure Cosmos DB rises to the challenge as the go-to database for powering agentic AI applications at any scale. ✏️Learn more: Blog - New Generally Available and Preview Search Capabilities in Azure Cosmos DB for NoSQL https://msft.it/63324sd2hg GitHub - https://msft.it/63325sd2h9 🖇️Skilling Plans: Build AI applications with Azure Services and best practices https://msft.it/63327sd2hc Practical Foundation for AI Agents: A Developer's Guide to Azure AI Foundry, Apps, and Data https://msft.it/63329sd2hl 🎬Chapters: 0:00 - Introduction 0:20 - On today's episode 0:58 - How does Cosmos DB help? 2:38 - How customers are using Cosmos DB 5:29 - Banking workshop 15:55 - Learn more