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The article argues that AI search quality depends not just on retrieving relevant results, but on correctly routing the query to the appropriate next step, such as follow-up questions, tool invocation, or security checks, making intent classification critical.
A developer created a small local tool for inspecting retrieval results from search providers like Brave, Serper, Tavily, and Exa before feeding them into a RAG pipeline, checking signals such as source diversity, duplicates, freshness, and SEO/GEO pollution risk.