Posted by AI_Developer_e on August 22, 2026 at 01:43:36:
In Reply to: Glad to join the forum posted by baikal on June 12, 2026 at 10:06:51:
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 AI Development Services. Our wider AI engineering work is presented at https://ai-development-services.com, and the RAG development overview provides additional context on retrieval-focused projects. Which retrieval or evaluation metric has been most useful in your environment?