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							- const translation = {
 
-   knowledge: 'Knowledge',
 
-   documentCount: ' docs',
 
-   wordCount: ' k words',
 
-   appCount: ' linked apps',
 
-   createDataset: 'Create Knowledge',
 
-   createDatasetIntro: 'Import your own text data or write data in real-time via Webhook for LLM context enhancement.',
 
-   deleteDatasetConfirmTitle: 'Delete this Knowledge?',
 
-   deleteDatasetConfirmContent:
 
-     'Deleting the Knowledge is irreversible. Users will no longer be able to access your Knowledge, and all prompt configurations and logs will be permanently deleted.',
 
-   datasetUsedByApp: 'The knowledge is being used by some apps. Apps will no longer be able to use this Knowledge, and all prompt configurations and logs will be permanently deleted.',
 
-   datasetDeleted: 'Knowledge deleted',
 
-   datasetDeleteFailed: 'Failed to delete Knowledge',
 
-   didYouKnow: 'Did you know?',
 
-   intro1: 'The Knowledge can be integrated into the Dify application ',
 
-   intro2: 'as a context',
 
-   intro3: ',',
 
-   intro4: 'or it ',
 
-   intro5: 'can be created',
 
-   intro6: ' as a standalone ChatGPT index plug-in to publish',
 
-   unavailable: 'Unavailable',
 
-   unavailableTip: 'Embedding model is not available, the default embedding model needs to be configured',
 
-   datasets: 'KNOWLEDGE',
 
-   datasetsApi: 'API ACCESS',
 
-   retrieval: {
 
-     semantic_search: {
 
-       title: 'Vector Search',
 
-       description: 'Generate query embeddings and search for the text chunk most similar to its vector representation.',
 
-     },
 
-     full_text_search: {
 
-       title: 'Full-Text Search',
 
-       description: 'Index all terms in the document, allowing users to search any term and retrieve relevant text chunk containing those terms.',
 
-     },
 
-     hybrid_search: {
 
-       title: 'Hybrid Search',
 
-       description: 'Execute full-text search and vector searches simultaneously, re-rank to select the best match for the user\'s query. Users can choose to set weights or configure to a Rerank model.',
 
-       recommend: 'Recommend',
 
-     },
 
-     invertedIndex: {
 
-       title: 'Inverted Index',
 
-       description: 'Inverted Index is a structure used for efficient retrieval. Organized by terms, each term points to documents or web pages containing it.',
 
-     },
 
-     change: 'Change',
 
-     changeRetrievalMethod: 'Change retrieval method',
 
-   },
 
-   docsFailedNotice: 'documents failed to be indexed',
 
-   retry: 'Retry',
 
-   indexingTechnique: {
 
-     high_quality: 'HQ',
 
-     economy: 'ECO',
 
-   },
 
-   indexingMethod: {
 
-     semantic_search: 'VECTOR',
 
-     full_text_search: 'FULL TEXT',
 
-     hybrid_search: 'HYBRID',
 
-     invertedIndex: 'INVERTED',
 
-   },
 
-   mixtureHighQualityAndEconomicTip: 'The Rerank model is required for mixture of high quality and economical knowledge bases.',
 
-   inconsistentEmbeddingModelTip: 'The Rerank model is required if the Embedding models of the selected knowledge bases are inconsistent.',
 
-   retrievalSettings: 'Retrieval Setting',
 
-   rerankSettings: 'Rerank Setting',
 
-   weightedScore: {
 
-     title: 'Weighted Score',
 
-     description: 'By adjusting the weights assigned, this rerank strategy determines whether to prioritize semantic or keyword matching.',
 
-     semanticFirst: 'Semantic first',
 
-     keywordFirst: 'Keyword first',
 
-     customized: 'Customized',
 
-     semantic: 'Semantic',
 
-     keyword: 'Keyword',
 
-   },
 
-   nTo1RetrievalLegacy: 'N-to-1 retrieval will be officially deprecated from September. It is recommended to use the latest Multi-path retrieval to obtain better results. ',
 
-   nTo1RetrievalLegacyLink: 'Learn more',
 
- }
 
- export default translation
 
 
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