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text: '{"root":{"children":[{"children":[{"detail":0,"format":1,"mode":"normal","style":"font-size: 14px;","text":"Get started with a blank pipeline","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":1,"textStyle":"font-size: 14px;"},{"children":[],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":1,"textStyle":""},{"children":[{"detail":0,"format":0,"mode":"normal","style":"","text":"A Knowledge Pipeline starts with Data Source as the starting node and ends with the knowledge base node. The general steps are: import documents from the data source → use extractor to extract document content → split and clean content into structured chunks → store in the knowledge base.","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0,"textStyle":""},{"children":[],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0,"textStyle":""},{"children":[{"children":[{"detail":0,"format":2,"mode":"normal","style":"","text":"Link to documentation","type":"text","version":1}],"direction":"ltr","format":"","indent":0,"type":"link","version":1,"textFormat":2,"rel":"noreferrer","target":"_blank","title":null,"url":"https://dify.ai"}],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":2,"textStyle":""},{"children":[],"direction":"ltr","format":"","indent":0,"type":"paragraph","version":1,"textFormat":0,"textStyle":""}],"direction":"ltr","format":"","indent":0,"type":"root","version":1,"textFormat":1,"textStyle":"font-size: 14px;"}}',
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