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azure ai search
About this tag
Azure AI Search is a Microsoft cloud service that enables enterprise-grade retrieval-augmented generation (RAG) by indexing and searching unstructured content such as documents, PDFs, and images. Discussions on WindowsForum.com highlight its use in governed AI systems where accuracy and trust are critical, such as FM's engineering knowledge platform for field engineers. The tag covers topics like data preparation for AI, integration with Azure OpenAI and Microsoft Foundry, and practical deployment of RAG workflows. Recurring themes include turning corporate documents into AI-ready data, managing unstructured content, and building search systems that prioritize disciplined retrieval over unconstrained generative output.
Spyglass MTG and FM have deployed a Microsoft Azure-based AI engineering knowledge platform, announced in early June 2026 and recently profiled by Microsoft, to give more than 1,500 FM field engineers faster access to the insurer’s technical standards and risk guidance. The headline is not that...
Unstructured announced on June 3, 2026, from San Francisco, that its enterprise data preparation platform is expanding its collaboration with Microsoft Azure to help customers turn documents, PDFs, presentations, emails, images, and other unstructured content into AI-ready data for RAG...
Unstructured announced on June 3, 2026, from San Francisco that it is expanding its collaboration with Microsoft to integrate its cloud-native data-preparation platform with Azure services, Microsoft Foundry, Azure AI Search, Azure Blob Storage, and Microsoft Marketplace for enterprise AI...
On May 28, 2026, Microsoft published a customer story describing how FM, a US-based commercial property insurer, worked with Microsoft and Spyglass MTG to give more than 1,500 field engineers AI-assisted access to complex engineering standards using Azure OpenAI and Azure AI Search. The notable...