Dev Blogs
Learn how Azure Content Understanding grounding, field-level confidence, and calibration help teams prioritize human review and build reliable document workflows.
Learn how Azure Content Understanding prebuilt analyzers combine domain knowledge with grounding and confidence, and what Advanced Contextualization preview benchmarks show about quality, modeled cost, and latency.
Compare Azure Document Intelligence and Azure Content Understanding across extraction architectures, workload fit, Layout capabilities, deployment options, and practical evaluation criteria.
Learn why stronger AI models make trustworthy content extraction more important, how Azure Content Understanding and Azure Document Intelligence serve different needs, and what comes next.
Azure Content Understanding (CU) in Foundry Tools is Microsoft's comprehensive content AI service. It ingests diverse data types — documents, audio, images, and video — and extracts the most critical information to power well-grounded, reliable generative AI and agentic solutions. Azure Content Understanding brings together Azure Document Intellige...
Across industries, organizations are moving from experimenting with single agents to running AI at the center of their business operations. While single agents excel at focused tasks, customers quickly discover that real enterprise work stretches across multiple steps, involves different roles, and requires strong governance. To operationalize AI i...
In today’s rapidly evolving AI landscape, developers are seeking reliable, secure, and predictable language capabilities to power the next generation of enterprise-grade agents. As agentic architecture becomes central to modern applications, teams need tools that deliver stronger privacy guarantees, deterministic behavior, and seamless integration ...
Learn how to integrate Azure AI Foundry's Agent Service with Claude Desktop using the Model Context Protocol (MCP) for powerful integration for MCP clients.
Learn how to integrate Mem0 with Azure AI Search and Azure OpenAI to create AI applications with persistent memory capabilities across conversations.
Learn how to integrate Azure AI Foundry's Agent Service with Claude Desktop using the Model Context Protocol (MCP) for powerful integration for MCP clients.