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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 thre type 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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@@ -40,6 +40,7 @@ Here is an overview of the model we deliver publicly here.
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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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