Update semantic_text documentation #3454
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solutions/search/semantic-search.md
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| ### Option 1: `semantic_text` [_semantic_text_workflow] | ||
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| The simplest way to use NLP models in the {{stack}} is through the [`semantic_text` workflow](semantic-search/semantic-search-semantic-text.md). We recommend using this approach because it abstracts away a lot of manual work. All you need to do is create an index mapping to start ingesting, embedding, and querying data. There is no need to define model-related settings and parameters, or to create {{infer}} ingest pipelines. | ||
| The simplest way to use NLP models in the {{stack}} is through the [`semantic_text` workflow](semantic-search/semantic-search-semantic-text.md). We recommend using this approach because it abstracts away a lot of manual work. All you need to do is create an index mapping to start ingesting, embedding, and querying data. There is no need to define model-related settings and parameters, or to create {{infer}} ingest pipelines. For guidance on the available query types for `semantic_text`, see [Querying `semantic_text` fields](https://www.elastic.co/docs/reference/elasticsearch/mapping-reference/semantic-text.md#querying-semantic-text-fields). |
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| ## Further examples and reading [semantic-text-further-examples] | ||
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| * For an overview of all query types supported by `semantic_text` fields and guidance on when to use them, see [Querying `semantic_text` fields](https://www.elastic.co/docs/reference/elasticsearch/mapping-reference/semantic-text.md#querying-semantic-text-fields). |
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Co-authored-by: Liam Thompson <[email protected]>
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This PR updates the documentation regarding the 'semantic_text' field type.
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