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High retrieval metrics don’t guarantee correct answers. This article digs into the gap between retrieval quality and end-user correctness in RAG systems — and what to measure instead.
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Top-K retrieval is treated as a default in most RAG pipelines — but it’s an assumption worth questioning. Here’s why it matters and what you can do instead.
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Most tutorials show you how to call an LLM. Production is a different problem — latency, cost, hallucination, observability, and trust all show up at once. This article breaks down what it actually takes to ship a reliable LLM application.