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AI Semantic Search Improves Patent Discovery by Understanding Meaning Beyond Keywords

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Patent research is often hindered by the varied terminology used to describe similar technologies. Traditional keyword searches can miss relevant documents that use different terms for the same concept. AI-powered semantic search addresses this by using models to find documents based on conceptual meaning rather than exact word matches. This allows researchers to discover patents they might otherwise overlook. However, semantic similarity does not guarantee technical equivalence, requiring careful human review of the results.

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