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@AvinandanBandyopadhyay AvinandanBandyopadhyay commented Oct 13, 2025

Instead of "wild west", it should likely be "cowboy rodeo bronco" in the sample example where "Search using a hybrid query" is provided (in Step 2).

Description: Solves #11222

Here in "https://docs.opensearch.org/latest/tutorials/vector-search/neural-search-tutorial/" -> Search using a hybrid search -> Step 2: Search using a hybrid query
Instead of "wild west", it should likely be "cowboy rodeo bronco" in the sample example where "Search using a hybrid query" is provided (in Step 2).
This seems to be more correct and useful as an example.

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Instead of "wild west", it should likely me "cowboy rodeo bronco" in the sample example where "Search using a hybrid query" is provided (in Step 2).

Signed-off-by: Avinandan <[email protected]>
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@kolchfa-aws
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Thanks, @AvinandanBandyopadhyay. I think the existing text is fine because it's referring to the general theme that the user is searching for. @martin-gaievski What do you think?

@kolchfa-aws kolchfa-aws added the Tech review PR: Tech review in progress label Oct 14, 2025
@martin-gaievski
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I agree with @kolchfa-aws. By mentioning "wild west," we are referring to a general theme that aims to highlight the benefits of using queries like "neural" to capture the semantic meaning of document content.

@AvinandanBandyopadhyay
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Thank you for reviewing this. My only concern was, in this statement:
"Not only does OpenSearch return documents that match the semantic meaning of wild west, but now the documents containing words related to the wild west theme are also scored higher relative to the others",
the mention of "wild west" is already done in the beginning and as this a hybrid search example that we are referring with "cowboy rodeo bronco" being used as text match query example, it could be a better fit since the sentence uses "also" while concluding on gaining relatively higher score.

@kolchfa-aws
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I think this is understandable as is. @natebower Could you weigh in on this text?

@natebower
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I agree with @kolchfa-aws and @martin-gaievski. Thanks.

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