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AI Search

Retrieval that ranks by meaning rather than by keyword match.

application Anwendungen 19 relationships

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AI search replaces term matching with embedding similarity, optionally reranked, so a query finds documents that mean the same thing without sharing words. It solves the vocabulary mismatch problem that has always limited keyword search: the page titled ending your subscription should be found by someone searching how do I cancel. It exists because embedding models became cheap enough to index an entire corpus, and it is the retrieval half of every question-answering system.

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Wie AI Search mit dem übrigen Stack zusammenhängt.

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