Showing category results for Multi-agent

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...

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...

Microsoft Ignite 2025 kicked off with a wave of announcements for Azure Cosmos DB and Azure DocumentDB, setting the tone for a week of innovation in cloud databases and AI. Here’s your one-stop summary of everything unveiled—and what to watch for in the sessions ahead. Major Azure Cosmos DB announcements from Ignite 2025 Azure DocumentDB now ...

Azure Cosmos DB was named by Bloomberg as the no. 1 Database of choice for Retrieval Augmented Generation (RAG) and Large Language Model (LLM) customization. It is used by OpenAI to scale it’s ChatGPT service, and by many thousands of customers worldwide, serving billions of end-users with globally distributed apps at planet scale. In this blog ...