Showing tag results for AI Agents

The first few minutes of a new AI project often feel productive. Create a chat endpoint, connect a model, send a prompt, and display the answer. Then the real questions arrive. Where should the agent store memory? How do we keep one customer's data away from another? How do we trace the source of an answer? What happens when an action require...

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...

In Episode 110 of Azure Cosmos DB TV, host Mark Brown is joined by Sajeetharan Sinnathurai to explore how the Azure Cosmos DB MCP Toolkit is changing the way developers build, deploy, and scale AI agents using real application data. As agentic AI systems evolve, one challenge continues to surface: securely and consistently connecting AI agents to ...

A hands‑on walkthrough of building MCP servers that can plug AI applications into Azure Cosmos DB The Model Context Protocol (MCP) has established itself as the ubiquitous standard for connecting AI applications to external systems. Since its release, there have been implementations across various programming languages and frameworks, enab...