Unverified50% confidenceOpinionExact time
Purely tool-driven keyword decisions can only capture word frequency and competition level, and cannot identify the semantic layering of search intent.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedThe fundamental flaw of keyword search is that it understands words, not intent77% similarVerifiedSemantic search can match results even when the query terms differ from the words in the file, as long as the meanings are similar, which is fundamentally different from keyword-based full-text search.71% similarUnverifiedFor texts that are highly dependent on context and metaphor, traditional keyword retrieval or rule-based matching often fails, whereas LLMs can capture implicit semantic associations across large corpora.71% similarUnverifiedScoring should be based on words that distinguish entries rather than the proportion of matched words, because common words are the easiest to match yet the least important.70% similarUnverifiedIntent classification based on large language models has stronger generalization ability than traditional keyword rule engines, but the classification boundaries are less transparent than hard rules.70% similar
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