Azure Cosmos DB Blog
The latest news, updates and technical insights from the Azure Cosmos DB team
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Join the Conversation: Call for Proposals for Azure Cosmos DB Conf 2025!
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Latest posts
Cosmos DB Embeddings Generator Sample
Ever since our first preview announcement for vector indexing and support for DiskANN and then again when we announced the GA for these features, customers have been asking us to make it easier to generate Azure OpenAI embeddings on their data in Azure Cosmos DB. So we did just that and created the Azure Cosmos DB Embeddings Generator sample application and hosted it on GitHub. This sample shows how to use an Azure Cosmos DB Trigger and Output Binding in Azure Functions to automatically generate Azure OpenAI embeddings on a new or updated item, then save it back to the same item in Cosmos DB. There is bo...
An introduction to Multi-Agent AI apps with Azure Cosmos DB and Azure OpenAI
Azure Cosmos DB was named by Bloomberg as the no. 1 Database of choice for Retrieval Augmented Generation (RAG) and Large Language Model (LLM) customization. It is used by OpenAI to scale it’s ChatGPT service, and by many thousands of customers worldwide, serving billions of end-users with globally distributed apps at planet scale. In this blog we will explore a simple example for lightweight multi-agent orchestration in Python using OpenAI Swarm. We’ll also see the benefits of being able to use Azure Cosmos DB as both a vector store and an operational database. What are multi-agent apps? Multi-agent AI apps...
Announcing Azure Cosmos DB Integration with Spring AI and Langchain4J!
We’re continuing to simplify AI app development by integrating Azure Cosmos DB’s cost-effective and scalable vector search directly with Spring AI and LangChain4J! These frameworks empower Java developers to efficiently manage fast and accurate data retrieval with Azure Cosmos DB’s scalability and efficient vector indexing and search capabilities, allowing for efficient handling of high-dimensional vectors. By using Azure Cosmos DB’s vector store, developers can keep vectors directly within their documents, enabling seamless integration with Spring AI or Langchain4J for advanced vector search queries. Spring AI ...
Microsoft Fabric API for GraphQL™ for Azure Cosmos DB Mirroring
The Microsoft Fabric API for GraphQL™ provides a data access layer that enables you to query multiple data sources quickly and efficiently using a widely adopted and familiar API technology. This API abstracts the specifics of backend data sources, allowing you to focus on your application's logic and deliver all the data a client needs in a single call. Microsoft Fabric's Mirroring enables you to seamlessly integrate your existing Azure Cosmos DB data with the rest of your data in Microsoft Fabric, eliminating the need for ETL. You can replicate your Azure Cosmos DB data continuously into OneLake in ne...
Introducing the new Linux-based Azure Cosmos DB Emulator (Preview)
We are excited to announce the preview release of the new Linux-based Azure Cosmos DB Emulator! This latest version is built to provide faster startup times and broader platform compatibility, addressing one of the most requested features in the Azure Cosmos DB User Voice community. The emulator can now seamlessly run on Apple silicon and Microsoft ARM chips without any workarounds or virtual machines necessary. A Seamless Experience for ARM and Apple Silicon Users For a long time, developers using Apple’s M1/M2 series or Microsoft ARM-based devices encountered significant challenges when trying to run the Azu...
Azure Cosmos DB Shines at Microsoft Ignite 2024!
Microsoft Ignite 2024 took over the Windy City this week, bringing with it new technological innovation and exciting product announcements aplenty! If you missed the first day of the show, don't worry – we’ve got you covered with all the latest and greatest Azure Cosmos DB news. This year's event saw great enthusiasm and attendance at McCormick Place, in Chicago, with attendees flocking to keynotes, breakout sessions, hands-on labs, and demos offering a glimpse into the future of data and AI. Check out the Azure Cosmos DB highlights from day one below. Noteworthy Sessions Microsoft Ignite Keynote Micr...
Autoscale in public preview for vCore-based Azure Cosmos DB for MongoDB
Managing workloads with unpredictable spikes can be a real challenge, especially when it comes to ensuring your database can handle sudden surges in traffic. Often, this leads to overprovisioning resources to play it safe, resulting in higher costs and wasted capacity. But what if there was a better way? We're excited to introduce Autoscale for vCore-based Azure Cosmos DB for MongoDB, a feature designed to take the guesswork out of scaling. With Autoscale, your database seamlessly adjusts to meet peak demand, eliminating the need for overprovisioning, cutting costs, and maintaining peak performance effortless...
New RBAC Features for vCore-based Azure Cosmos DB for MongoDB
We’re excited to announce a major security enhancement for the vCore-based Azure Cosmos DB for MongoDB: Role-Based Access Control (RBAC) Integration for Secondary Users with Read/Read Write Privileges. Now available in public preview, this feature enables organizations to control data access with greater precision while preserving the flexibility and high performance that Azure Cosmos DB delivers. What’s New? With this release, administrators using vCore-based Azure Cosmos DB for MongoDB can assign specific access roles to secondary users, granting them the required Read or Read Write privileges to access clust...
Data API Public Preview in vCore-based Azure Cosmos DB for MongoDB
We're excited to announce that the Data API for vCore-based Azure Cosmos DB for MongoDB is now in public preview. This Data API offers a flexible and powerful way for you to interact with your database using HTTP-based API calls.Data API The Data API for vCore-based Azure Cosmos DB for MongoDB lets you work with your MongoDB vCore data through straightforward HTTP requests, removing the need for traditional drivers or complex queries. You can easily perform basic operations like creating, reading, updating, and deleting data directly from your applications. This approach simplifies connecting your MongoDB dat...