Showing category results for Azure Cosmos DB

Today we’re thrilled to announce the public preview of two new toolkits for Azure Cosmos DB: the Agent Memory Toolkit and the Agentic Retrieval Toolkit. If you’re building AI agents and retrieval-augmented generation (RAG) apps, these toolkits are designed to take you from prototype to production faster, giving your agents durable memory and your R...

The Problem Every Developer Knows Too Well You're building a feature. You know exactly what data you need all orders from the last week over $500, grouped by region. The logic is clear in your head. But between you and that data sits a query language, a documentation tab (or three), and fifteen minutes of trial and error before you get the synta...

Back in January, we shipped the Azure Cosmos DB Agent kit in preview with 45 rules and a hypothesis: if we package Azure Cosmos DB expertise into a format that AI coding agents understand, developers will stop making the same expensive mistakes. That hypothesis held up. What surprised us was how much the rules themselves needed to evolve once we st...

You just created a Cosmos DB account. The portal handed you two keys and a connection string, it worked, and you moved on. That's what most developers do, and it causes problems later. This post is a guide for developers launching a new Cosmos DB app who want a secure default setup without enterprise-grade complexity. It focuses on the decisions...

 Today, we're thrilled to announce the public preview of Azure Cosmos DB Shell – a powerful, open-source command-line interface that revolutionizes how developers interact with their Azure Cosmos DB databases. With integrated Model Context Protocol (MCP) server support, native agentic capabilities, and bash-like syntax, Azure Cosmos DB Shell transf...

Build AI Agents and RAG Applications with the New LangChain + LangGraph Connector for Azure Cosmos DB Building AI agents and RAG applications today means stitching together half a dozen services, a vector database, a chat history store, a checkpointer for agent state, a semantic cache, a long-term memory layer. Each adds operational overhead, late...

Introduction Managing access to Azure resources often means dealing with two separate permission models: one for management operations and another for data access. For Azure Cosmos DB customers, this split can increase complexity, slow down onboarding, and create confusion around governance and security boundaries. Today, we’re excited to annou...

Protecting sensitive data is a foundational requirement for modern applications. As organizations scale their use of Azure Cosmos DB across teams, environments, and workloads, controlling who can see sensitive information becomes increasingly important. Today, we are excited to announce the general availability of Dynamic Data Masking (DDM) for ...

Azure Cosmos DB enables scalable AI-driven document processing, addressing one of the biggest barriers to operational scale in today’s enterprise AI landscape. Organizations continue to manage massive volumes of structured and unstructured content—contracts, regulatory filings, operational records, images, and field documentation—yet many workflows...

We're excited to announce the Cursor plugin for Azure Cosmos DB bringing AI-powered database expertise, best practices guidance, and live database connectivity directly into your coding workflow. Whether you're designing a new data model, optimizing queries, or building a RAG application with vector search, the Cursor plugin gives your AI assist...