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Semantic Search
Semantic search is a search method that matches queries to content based on meaning and intent rather than exact keyword overlap, typically using vector embeddings to find conceptually related results. It powers both AI answer engines and in-product search bars, helping users find the right help article even when their wording doesn't match the source text exactly.
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