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# Retrieves a rule by its ID. To find the object ID of rules, use the [`search` operation](#tag/Rules/operation/searchRules).
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# Retrieves a rule by its ID. To find the object ID of a rule, use the [`search` operation](https://www.algolia.com/doc/rest-api/composition/search-composition-rules).
# Retrieves a rule by its ID. To find the object ID of rules, use the [`search` operation](#tag/Rules/operation/searchRules).
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# Retrieves a rule by its ID. To find the object ID of a rule, use the [`search` operation](https://www.algolia.com/doc/rest-api/composition/search-composition-rules).
Copy file name to clipboardExpand all lines: lib/algolia/api/ingestion_client.rb
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# Pushes records through the Pipeline, directly to an index. You can make the call synchronous by providing the `watch` parameter, for asynchronous calls, you can use the observability endpoints and/or debugger dashboard to see the status of your task. If you want to leverage the [pre-indexing data transformation](https://www.algolia.com/doc/guides/sending-and-managing-data/send-and-update-your-data/how-to/transform-your-data/), this is the recommended way of ingesting your records. This method is similar to `pushTask`, but requires an `indexName` instead of a `taskID`. If zero or many tasks are found, an error will be returned.
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# Pushes records through the Pipeline, directly to an index. You can make the call synchronous by providing the `watch` parameter, for asynchronous calls, you can use the observability endpoints and/or debugger dashboard to see the status of your task. If you want to leverage the [pre-indexing data transformation](https://www.algolia.com/doc/guides/sending-and-managing-data/send-and-update-your-data/how-to/transform-your-data), this is the recommended way of ingesting your records. This method is similar to `pushTask`, but requires an `indexName` instead of a `taskID`. If zero or many tasks are found, an error will be returned.
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#
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# Required API Key ACLs:
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# - addObject
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@api_client.call_api(:POST,path,new_options)
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# Pushes records through the Pipeline, directly to an index. You can make the call synchronous by providing the `watch` parameter, for asynchronous calls, you can use the observability endpoints and/or debugger dashboard to see the status of your task. If you want to leverage the [pre-indexing data transformation](https://www.algolia.com/doc/guides/sending-and-managing-data/send-and-update-your-data/how-to/transform-your-data/), this is the recommended way of ingesting your records. This method is similar to `pushTask`, but requires an `indexName` instead of a `taskID`. If zero or many tasks are found, an error will be returned.
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# Pushes records through the Pipeline, directly to an index. You can make the call synchronous by providing the `watch` parameter, for asynchronous calls, you can use the observability endpoints and/or debugger dashboard to see the status of your task. If you want to leverage the [pre-indexing data transformation](https://www.algolia.com/doc/guides/sending-and-managing-data/send-and-update-your-data/how-to/transform-your-data), this is the recommended way of ingesting your records. This method is similar to `pushTask`, but requires an `indexName` instead of a `taskID`. If zero or many tasks are found, an error will be returned.
Copy file name to clipboardExpand all lines: lib/algolia/models/abtesting-v3/ab_test_response.rb
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# Unique A/B test identifier.
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attr_accessor:ab_test_id
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# Unique identifier of a task. A successful API response means that a task was added to a queue. It might not run immediately. You can check the task's progress with the [`task` operation](#tag/Indices/operation/getTask) and this `taskID`.
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# Unique identifier of a task. A successful API response means that a task was added to a queue. It might not run immediately. You can check the task's progress with the [`task` operation](https://www.algolia.com/doc/rest-api/search/get-task) and this task ID.
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attr_accessor:task_id
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# Attribute mapping from ruby-style variable name to JSON key.
Copy file name to clipboardExpand all lines: lib/algolia/models/abtesting/ab_test_response.rb
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# Unique A/B test identifier.
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attr_accessor:ab_test_id
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# Unique identifier of a task. A successful API response means that a task was added to a queue. It might not run immediately. You can check the task's progress with the [`task` operation](#tag/Indices/operation/getTask) and this `taskID`.
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# Unique identifier of a task. A successful API response means that a task was added to a queue. It might not run immediately. You can check the task's progress with the [`task` operation](https://www.algolia.com/doc/rest-api/search/get-task) and this task ID.
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attr_accessor:task_id
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# Attribute mapping from ruby-style variable name to JSON key.
Copy file name to clipboardExpand all lines: lib/algolia/models/composition/base_injection_query_parameters.rb
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# Whether the best matching attribute should be determined by minimum proximity This setting only affects ranking if the Attribute ranking criterion comes before Proximity in the `ranking` setting. If true, the best matching attribute is selected based on the minimum proximity of multiple matches. Otherwise, the best matching attribute is determined by the order in the `searchableAttributes` setting.
# Attributes to highlight By default, all searchable attributes are highlighted. Use `*` to highlight all attributes or use an empty array `[]` to turn off highlighting. Attribute names are case-sensitive With highlighting, strings that match the search query are surrounded by HTML tags defined by `highlightPreTag` and `highlightPostTag`. You can use this to visually highlight matching parts of a search query in your UI For more information, see [Highlighting and snippeting](https://www.algolia.com/doc/guides/building-search-ui/ui-and-ux-patterns/highlighting-snippeting/js/).
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# Attributes to highlight By default, all searchable attributes are highlighted. Use `*` to highlight all attributes or use an empty array `[]` to turn off highlighting. Attribute names are case-sensitive With highlighting, strings that match the search query are surrounded by HTML tags defined by `highlightPreTag` and `highlightPostTag`. You can use this to visually highlight matching parts of a search query in your UI For more information, see [Highlighting and snippeting](https://www.algolia.com/doc/guides/building-search-ui/ui-and-ux-patterns/highlighting-snippeting/js).
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attr_accessor:attributes_to_highlight
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# Attributes to include in the API response To reduce the size of your response, you can retrieve only some of the attributes. Attribute names are case-sensitive - `*` retrieves all attributes, except attributes included in the `customRanking` and `unretrievableAttributes` settings. - To retrieve all attributes except a specific one, prefix the attribute with a dash and combine it with the `*`: `[\"*\", \"-ATTRIBUTE\"]`. - The `objectID` attribute is always included.
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# Attributes for which to enable snippets. Attribute names are case-sensitive Snippets provide additional context to matched words. If you enable snippets, they include 10 words, including the matched word. The matched word will also be wrapped by HTML tags for highlighting. You can adjust the number of words with the following notation: `ATTRIBUTE:NUMBER`, where `NUMBER` is the number of words to be extracted.
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attr_accessor:attributes_to_snippet
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# Whether to include a `queryID` attribute in the response The query ID is a unique identifier for a search query and is required for tracking [click and conversion events](https://www.algolia.com/guides/sending-events/getting-started/).
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# Whether to include a `queryID` attribute in the response The query ID is a unique identifier for a search query and is required for tracking [click and conversion events](https://www.algolia.com/guides/sending-events/getting-started).
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attr_accessor:click_analytics
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# Whether to split compound words in the query into their building blocks For more information, see [Word segmentation](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/language-specific-configurations/#splitting-compound-words). Word segmentation is supported for these languages: German, Dutch, Finnish, Swedish, and Norwegian. Decompounding doesn't work for words with [non-spacing mark Unicode characters](https://www.charactercodes.net/category/non-spacing_mark). For example, `Gartenstühle` won't be decompounded if the `ü` consists of `u` (U+0075) and `◌̈` (U+0308).
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# Searchable attributes for which you want to [turn off the Exact ranking criterion](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/override-search-engine-defaults/in-depth/adjust-exact-settings/#turn-off-exact-for-some-attributes). Attribute names are case-sensitive This can be useful for attributes with long values, where the likelihood of an exact match is high, such as product descriptions. Turning off the Exact ranking criterion for these attributes favors exact matching on other attributes. This reduces the impact of individual attributes with a lot of content on ranking.
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attr_accessor:disable_exact_on_attributes
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# Attributes for which you want to turn off [typo tolerance](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/typo-tolerance/). Attribute names are case-sensitive Returning only exact matches can help when - [Searching in hyphenated attributes](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/typo-tolerance/how-to/how-to-search-in-hyphenated-attributes/). - Reducing the number of matches when you have too many. This can happen with attributes that are long blocks of text, such as product descriptions Consider alternatives such as `disableTypoToleranceOnWords` or adding synonyms if your attributes have intentional unusual spellings that might look like typos.
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# Attributes for which you want to turn off [typo tolerance](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/typo-tolerance). Attribute names are case-sensitive Returning only exact matches can help when - [Searching in hyphenated attributes](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/typo-tolerance/how-to/how-to-search-in-hyphenated-attributes). - Reducing the number of matches when you have too many. This can happen with attributes that are long blocks of text, such as product descriptions Consider alternatives such as `disableTypoToleranceOnWords` or adding synonyms if your attributes have intentional unusual spellings that might look like typos.
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# Whether to enable Personalization.
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attr_accessor:enable_personalization
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# Whether this search will use [Dynamic Re-Ranking](https://www.algolia.com/doc/guides/algolia-ai/re-ranking/) This setting only has an effect if you activated Dynamic Re-Ranking for this index in the Algolia dashboard.
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# Whether this search will use [Dynamic Re-Ranking](https://www.algolia.com/doc/guides/algolia-ai/re-ranking) This setting only has an effect if you activated Dynamic Re-Ranking for this index in the Algolia dashboard.
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attr_accessor:enable_re_ranking
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# Whether to enable rules.
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attr_accessor:facet_filters
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# Filter expression to only include items that match the filter criteria in the response. You can use these filter expressions: - **Numeric filters.** `<facet> <op> <number>`, where `<op>` is one of `<`, `<=`, `=`, `!=`, `>`, `>=`. - **Ranges.** `<facet>:<lower> TO <upper>` where `<lower>` and `<upper>` are the lower and upper limits of the range (inclusive). - **Facet filters.** `<facet>:<value>` where `<facet>` is a facet attribute (case-sensitive) and `<value>` a facet value. - **Tag filters.** `_tags:<value>` or just `<value>` (case-sensitive). - **Boolean filters.** `<facet>: true | false`. You can combine filters with `AND`, `OR`, and `NOT` operators with the following restrictions: - You can only combine filters of the same type with `OR`. **Not supported:** `facet:value OR num > 3`. - You can't use `NOT` with combinations of filters. **Not supported:** `NOT(facet:value OR facet:value)` - You can't combine conjunctions (`AND`) with `OR`. **Not supported:** `facet:value OR (facet:value AND facet:value)` Use quotes around your filters, if the facet attribute name or facet value has spaces, keywords (`OR`, `AND`, `NOT`), or quotes. If a facet attribute is an array, the filter matches if it matches at least one element of the array. For more information, see [Filters](https://www.algolia.com/doc/guides/managing-results/refine-results/filtering/).
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# Filter expression to only include items that match the filter criteria in the response. You can use these filter expressions: - **Numeric filters.** `<facet> <op> <number>`, where `<op>` is one of `<`, `<=`, `=`, `!=`, `>`, `>=`. - **Ranges.** `<facet>:<lower> TO <upper>` where `<lower>` and `<upper>` are the lower and upper limits of the range (inclusive). - **Facet filters.** `<facet>:<value>` where `<facet>` is a facet attribute (case-sensitive) and `<value>` a facet value. - **Tag filters.** `_tags:<value>` or just `<value>` (case-sensitive). - **Boolean filters.** `<facet>: true | false`. You can combine filters with `AND`, `OR`, and `NOT` operators with the following restrictions: - You can only combine filters of the same type with `OR`. **Not supported:** `facet:value OR num > 3`. - You can't use `NOT` with combinations of filters. **Not supported:** `NOT(facet:value OR facet:value)` - You can't combine conjunctions (`AND`) with `OR`. **Not supported:** `facet:value OR (facet:value AND facet:value)` Use quotes around your filters, if the facet attribute name or facet value has spaces, keywords (`OR`, `AND`, `NOT`), or quotes. If a facet attribute is an array, the filter matches if it matches at least one element of the array. For more information, see [Filters](https://www.algolia.com/doc/guides/managing-results/refine-results/filtering).
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# Whether the search response should include detailed ranking information.
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# Impact that Personalization should have on this search The higher this value is, the more Personalization determines the ranking compared to other factors. For more information, see [Understanding Personalization impact](https://www.algolia.com/doc/guides/personalization/personalizing-results/in-depth/configuring-personalization/#understanding-personalization-impact).
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# Languages for language-specific query processing steps such as plurals, stop-word removal, and word-detection dictionaries This setting sets a default list of languages used by the `removeStopWords` and `ignorePlurals` settings. This setting also sets a dictionary for word detection in the logogram-based [CJK](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/normalization/#normalization-for-logogram-based-languages-cjk) languages. To support this, you must place the CJK language **first** **You should always specify a query language.** If you don't specify an indexing language, the search engine uses all [supported languages](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/supported-languages/), or the languages you specified with the `ignorePlurals` or `removeStopWords` parameters. This can lead to unexpected search results. For more information, see [Language-specific configuration](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/language-specific-configurations/).
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# Languages for language-specific query processing steps such as plurals, stop-word removal, and word-detection dictionaries This setting sets a default list of languages used by the `removeStopWords` and `ignorePlurals` settings. This setting also sets a dictionary for word detection in the logogram-based [CJK](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/normalization/#normalization-for-logogram-based-languages-cjk) languages. To support this, you must place the CJK language **first** **You should always specify a query language.** If you don't specify an indexing language, the search engine uses all [supported languages](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/supported-languages), or the languages you specified with the `ignorePlurals` or `removeStopWords` parameters. This can lead to unexpected search results. For more information, see [Language-specific configuration](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/in-depth/language-specific-configurations).
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