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Docs: UI updates (#8170)

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### What problem does this PR solve?


### Type of change


- [x] Documentation Update
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writinwaters
2025-06-11 09:17:30 +08:00
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parent ab67292aa3
commit c8269206d7
7 changed files with 14 additions and 14 deletions
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web/src/locales/en.ts
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@ -171,9 +171,9 @@ export default {
html4excel: 'Excel to HTML',
html4excelTip: `Use with the General chunking method. When disabled, spreadsheets (XLSX or XLS(Excel 97-2003)) in the knowledge base will be parsed into key-value pairs. When enabled, they will be parsed into HTML tables, splitting every 12 rows if the original table has more than 12 rows.`,
autoKeywords: 'Auto-keyword',
autoKeywordsTip: `Automatically extract N keywords for each chunk to increase their ranking for queries containing those keywords. Be aware that extra tokens will be consumed by the chat model specified in 'System model settings'. You can check or update the added keywords for a chunk from the chunk list. `,
autoKeywordsTip: `Automatically extract N keywords for each chunk to increase their ranking for queries containing those keywords. Be aware that extra tokens will be consumed by the chat model specified in 'System model settings'. You can check or update the added keywords for a chunk from the chunk list. For details, see https://ragflow.io/docs/dev/autokeyword_autoquestion.`,
autoQuestions: 'Auto-question',
autoQuestionsTip: `Automatically extract N questions for each chunk to increase their ranking for queries containing those questions. You can check or update the added questions for a chunk from the chunk list. This feature will not disrupt the chunking process if an error occurs, except that it may add an empty result to the original chunk. Be aware that extra tokens will be consumed by the LLM specified in 'System model settings'.`,
autoQuestionsTip: `Automatically extract N questions for each chunk to increase their ranking for queries containing those questions. You can check or update the added questions for a chunk from the chunk list. This feature will not disrupt the chunking process if an error occurs, except that it may add an empty result to the original chunk. Be aware that extra tokens will be consumed by the LLM specified in 'System model settings'. For details, see https://ragflow.io/docs/dev/autokeyword_autoquestion.`,
redo: 'Do you want to clear the existing {{chunkNum}} chunks?',
setMetaData: 'Set Meta Data',
pleaseInputJson: 'Please enter JSON',