SMRTR summary
AI teams building RAG systems repeatedly fall into three traps: skipping evals, undervaluing retrieval quality, and treating chunking as the end goal rather than delivering structured, metadata-rich content to the LLM. Multidisciplinary teams navigate these tradeoffs best.
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