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rag retrieval
About this tag
The tag 'rag retrieval' covers discussions about retrieval-augmented generation (RAG) systems, particularly in enterprise contexts. A featured thread describes how FM, a commercial property insurer, built a governed AI standards search system using Azure OpenAI and Azure AI Search. The implementation emphasizes treating generative AI as a disciplined retrieval system for professional judgment, rather than a simple answer box. This highlights the importance of trust and accuracy in enterprise AI, where the cost of errors is high. The tag focuses on practical RAG architectures, Azure AI services, and the integration of retrieval mechanisms with large language models for reliable, domain-specific search and decision support.
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...