From an Empty Folder to an AI Agent: Meet create-cosmos-agent
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 answe...
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 answe...
You own the account, wrote the application, and would be the one fixing it if something broke. So role-based access control (RBAC) can sound l...
This tutorial shows how common Elasticsearch search requests can be expressed using Azure Cosmos DB query patterns. Some Elasticsearch capabil...
The work does not end when the prompt does A user comes to Genspark with a goal: research a market, build a presentation, produce a report, an...
You can now open Azure Cosmos DB Shell directly from Data Explorer in the Azure portal. The shell gives you a terminal-style way to work with ...
This post focuses on one of the most important design tasks when migrating from Elasticsearch to Azure Cosmos DB: translating an Elasticsearch...
Azure Cosmos DB’s full-text search capabilities can improve price performance and simplify application architecture by consolidating operation...
Azure Cosmos DB mirroring in Microsoft Fabric now offers a simpler way to connect accounts secured by private endpoints or virtual networks. A...
Azure Cosmos DB support in Fabric Database Hub is now available in public preview. For the first time, Azure Cosmos DB customers can discover ...
AI coding agents can write much of an application’s code, but developers still need to review the decisions behind it. For a Cosmos DB a...
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