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Dev Tools · 2h ago

RAG Quality Issues Often Stem from Poor Search, Not LLMs

By Meridian48 News Desk · Summarised from DEV Community ·

A developer observes that many RAG application failures are due to flawed retrieval, not the LLM itself. Semantic chunking—splitting documents at natural topic boundaries—improves context quality. Teams often overlook search layer issues while tuning prompts and models.

Meridian48 take
The piece rightly shifts blame from LLMs to retrieval, but the advice is standard; real innovation would be in automated chunking evaluation at scale.
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Fix Your Search, Fix Your RAG Output →
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