Showing archive results for 2026

Recently we introduced the Agent Memory Toolkit and the Agentic Retrieval Toolkit for Azure Cosmos DB. The Agent Memory Toolkit gives your agents durable, Cosmos-backed memory: it stores raw conversation turns and then distills them into higher-value derived memories (thread summaries, extracted facts, and cross-thread user profiles), all searchabl...

If you use the Azure Cosmos DB vNext emulator, you probably know the local development loop: start the emulator, connect to it, create some resources, load test data, run queries, and inspect the results. Each step is straightforward, but together they add setup work before you can test the application you are actually building. How agents work wi...

Most "AI agent" demos forget everything the moment the process exits. That's fine for a toy project, but useless for anything real. An agent that helps you write, triage, or support needs two things a language model alone can't give it: durable state and the ability to recall the right context by meaning. This post shows how to build exactly that b...

Design patterns are where good data modeling lives or dies. In a NoSQL database like Azure Cosmos DB, the difference between a schema that scales to millions of operations per second and one that fights you at every turn usually comes down to a handful of well‑understood patterns: how you partition, how you version, how you fan out work, how you ke...

Once you create a container, its partition key is fixed at creation, and you can’t change it in place. However, if your original key starts causing problems like cross-partition queries or hot partitions, you need to consider your options for changing it. This post explains the mechanics of changing a partition key, and the tradeoffs between the op...

The wait is over. Spring AI 2.0 is generally available, and Azure Cosmos DB is right there with it. With this release, Spring AI graduates into a mature, production-ready framework for building AI applications in Java, and Azure Cosmos DB ships dedicated, vendor-maintained integrations that plug straight into the Spring AI ecosystem. The Spring AI...

In the previous post in the series, we covered the security decisions you make on day one. In this part, we will talk about how to give your app access to Cosmos DB data, using roles and a managed identity instead of keys. The situation You’ve built your app. It works locally. Now you’re ready to connect it to Azure Cosmos DB, and you hit the que...

Deep Agents is an agent harness built on LangGraph, for agents that need to work through a task over many steps instead of a single LLM call. The agent runs tools, looks at the results, and uses that to pick the next one, keeping a todo list as it goes. On top of that loop the harness brings what a longer-running agent needs. It can load instructio...

Azure Backup for Azure Cosmos DB Public Preview Adds Immutable Backups and Long-Term Retention Picture the first few hours after a serious data incident. A production application is down. Security teams are still trying to understand what happened. Application owners need to know which recovery points are usable, which ones are protected fro...

Today, we're excited to announce the general availability of the Azure Cosmos DB built-in connector for Azure Logic Apps Standard. This connector gives you a native, high-performance way to integrate Azure Cosmos DB into your Standard logic app workflows, with better throughput, lower latency, and richer functionality than the managed connector. Th...