Azure Cosmos DB Blog
The latest news, updates and technical insights from the Azure Cosmos DB team
Latest posts
Use Azure Cosmos DB as a Docker container in CI/CD pipelines
There are lot of benefits to using Docker containers in CI/CD pipelines, especially for stateful systems like databases. For example, when you run integration tests, each CI job can start the database in an isolated container with a clean state, preventing conflicts between tests. This results in a testing environment that is reliable, consistent, and cost effective. This approach also reduces latency and improves the overall performance of the CI/CD pipeline because the database is locally accessible. The Linux-based Azure Cosmos DB emulator is available as a Docker container and can run on a variety of platf...
Doctors generate faster, more accurate medical charts with Sayvant and Azure Cosmos DB
This article is guest authored by Justin Mardjuki, CEO, Sayvant. Emergency rooms and urgent care facilities handle an estimated 350 million visits each year. Acute care environments are fast-paced, unpredictable, and high stakes. In these settings, providing care quickly is paramount. That’s why we created Sayvant, the leading clinical documentation AI solution for acute care. Sayvant helps clinicians generate accurate, defensible medical charts in seconds, enabling them to focus on delivering patient care instead of administrative tasks like documentation. Sayvant automates the creation of clinically accurate...
Revolutionizing Large-Scale AI with Janusgraph and Azure Managed Instance for Apache Cassandra
JanusGraph is a high-performance graph database that offers flexibility in choosing storage backends. Apache Cassandra is a distributed NoSQL database known for its scalability and fault tolerance. Combining these two technologies can create a robust and efficient graph database solution. You can use the Azure Managed Instance for Apache Cassandra which is a fully-managed offering on Azure with boasts of features such as Turnkey Horizontal and Vertical Scaling, Support for Customer Managed Keys, LDAP support, auto patch of OS, automatic repairs, Azure Monitor, Lucene Index support and keeping in line with tod...
Join the Conversation: Call for Proposals for Azure Cosmos DB Conf 2025!
Are you passionate about Azure Cosmos DB? Do you have insights, experiences, or innovations that the developer community would love to hear? Now is your chance to shine at the Azure Cosmos DB Conference 2025 – a free, virtual developer event co-organized by Microsoft and the vibrant Azure Cosmos DB community. Mark your calendar for April 15, 2025, and join us online for an exciting day of learning, sharing, and inspiration! This is our fifth annual conference, and we’re looking for YOU to contribute to making it an unforgettable experience! Why Submit a Proposal? Azure Cosmos DB Conference 2025 isn't jus...
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...