Why Better Retrieval Matters More Than a Bigger LLM in Enterprise RAG
Enterprises often assume that improving a Retrieval-Augmented Generation system means switching to a larger language model. In practice, many disappointing RAG outputs originate earlier in the pipeline. If the system retrieves incomplete, irrelevant, outdated, or poorly ranked evidence, even a capable model is forced to generate from weak context. That makes retrieval quality one of the most...
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