Evaluating single-a > 온라인문의

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>. Our wider AI engineering work is presented at https://ai-development-services.com, and the <a href="//ai-development-services.com">RAG development overview</a> provides additional context on retrieval-focused projects. Which retrieval or evaluation metric has been most useful in your environment?