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Azure Cosmos DB Guides & Articles

Follow Azure Cosmos DB from a local development database to the data layer of an AI application. These guides connect storage decisions to working software: durable agent memory, tenant isolation, vector retrieval, and a developer discovery platform.

Start with the end-to-end agent walkthrough for a hands-on example, then explore the DevGlobe architecture to see how a different workload uses the database. Historical articles cover earlier SDKs and service capabilities and should be read in their original context.

By Sajeetharan Sinnathurai, Principal Product Manager at Microsoft.

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  1. Build an AI Agent with Azure Cosmos DB: End-to-End Guide

    Build a TypeScript AI agent with Azure Cosmos DB, React, durable memory, tenant isolation, diagnostics, tests, and a clear path from local development to Azure.

  2. Building DevGlobe with Azure Cosmos DB and AI Agents

    How DevGlobe uses Azure Cosmos DB, vector search, MCP, and Azure Functions to power an open-source talent graph for developers and AI agents.

All Azure Cosmos DB articles

Newest first. Publication dates distinguish recent guides from historical walkthroughs.

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