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Add guava
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README.md
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@@ -22,7 +22,7 @@ experience and specialized workflow to augment your people and your company. For
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# Neural Search models
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Sinequa Search relies on a technology called Neural Search. Neural Search is an hybrid search solution based on both Key Word Search and Vector Searched.
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This search workflow implies
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The two collections below bring together the recommended model combinations for English only and multilingual context.
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| vectorizer.vanilla | en | 0.639 | 53 ms | 330 MiB |
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| vectorizer.raspberry | de, en, es, fr, it, ja, nl, pt, zs | 0.613 | 52 ms | 610 MiB |
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| vectorizer.hazelnut | de, en, es, fr, it, ja, nl, pt, zs, pl | 0.590 | 52 ms | 610 MiB |
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## Passage Ranker
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# Neural Search models
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Sinequa Search relies on a technology called Neural Search. Neural Search is an hybrid search solution based on both Key Word Search and Vector Searched.
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This search workflow implies three types of models for which we deliver various version here.
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The two collections below bring together the recommended model combinations for English only and multilingual context.
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| vectorizer.vanilla | en | 0.639 | 53 ms | 330 MiB |
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| vectorizer.raspberry | de, en, es, fr, it, ja, nl, pt, zs | 0.613 | 52 ms | 610 MiB |
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| vectorizer.hazelnut | de, en, es, fr, it, ja, nl, pt, zs, pl | 0.590 | 52 ms | 610 MiB |
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| vectorizer.guava | de, en, es, fr, it, ja, nl, pt, zs, zh-trad, pl | 0.616 | 52 ms | 610 MiB |
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## Passage Ranker
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