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Feat: Alter "Compilation" to "Operator" (#17273)
### Summary
[Feat: Alter "Compilation" to
"Operator"](f52684dc23)
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@@ -2292,7 +2292,7 @@ Example: Virtual Hosted Style`,
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modelMaxTokensMinMessage: 'Max tokens must be at least 0',
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},
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knowledgeCompilation: {
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builtinTemplates: 'Built-in template',
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builtinTemplates: 'Template',
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},
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datasetSkill: {
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folders: 'Skills',
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@@ -3194,9 +3194,9 @@ This process aggregates variables from multiple branches into a single variable
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extractor: 'Transformer',
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extractorDescription:
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'Use an LLM to extract structured insights from document chunks—such as summaries, classifications, etc.',
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compiler: 'Compilation',
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compiler: 'Operator',
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compilerDescription:
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'Compiles document chunks using knowledge compilation templates into structured artifacts.',
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'Processes document chunks using operator templates into structured artifacts.',
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outputFormat: 'Output format',
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fileFormats: 'File type',
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fileFormatOptions: {
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@@ -1947,7 +1947,7 @@ NER:使用 spaCy NER 和基于规则的关键词提取来抽取实体和关系
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modelMaxTokensMinMessage: '最大 Token 数不能小于 0',
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},
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knowledgeCompilation: {
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builtinTemplates: '内置模板',
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builtinTemplates: '模板',
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},
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datasetSkill: {
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folders: '技能',
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@@ -2788,8 +2788,8 @@ NER:使用 spaCy NER 和基于规则的关键词提取来抽取实体和关系
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extractor: '提取器',
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extractorDescription:
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'使用 LLM 从文档块(例如摘要、分类等)中提取结构化见解。',
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compiler: '知识编译',
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compilerDescription: '使用知识编译模板将文档块编译为知识工件。',
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compiler: '算子',
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compilerDescription: '使用算子模板将文档块处理为结构化工件。',
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outputFormat: '输出格式',
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fileFormats: '文件类型',
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fileFormatOptions: {
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