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

How to use NServiceBus with Azure Cosmos DB.

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

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

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

Azure Cosmos DB provides highly reliable, scalable, and performant data storage in the Microsoft Azure cloud. However, designing your NServiceBus system with Cosmos DB to create performant, reliable,…

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/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