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August 11, 2026 - 08:40 PM AI_Developer_o - ella@ai-development-services.com RAG systems often look straightforward in a prototype, but production quality depends on much more than model selection. In our experience, the main variables are document preparation, retrieval quality, metadata filtering, access control, citation support and a repeatable evaluation set. Monitoring failed retrievals is also more useful than tracking only generic model metrics. We build these systems at <a href=https://ai-development-services.com/>AI Development Services</a>. Which retrieval or evaluation metric has been most useful in your environment? IP : 144.124.244.26 |