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https://github.com/labring/FastGPT.git
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v4.6.2 (#523)
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@@ -170,6 +170,7 @@
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"Rename Success": "Rename Success",
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"Request Error": "Request Error",
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"Require Input": "Required",
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"Save": "Save",
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"Save Failed": "Save Failed",
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"Save Success": "Save Success",
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"Search": "Search",
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@@ -216,11 +217,15 @@
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"Prompt": "Prompt"
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},
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"app": {
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"App params config": "App Config",
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"Next Step Guide": "Next step guide",
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"Question Guide Tip": "At the end of the conversation, three leading questions will be asked.",
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"Save and preview": "Save",
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"Select TTS": "Select TTS",
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"Simple Config Tip": "Only basic functions are included. For complex agent functions, use advanced orchestration.",
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"TTS": "Audio Speech",
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"TTS Tip": "After this function is enabled, the voice playback function can be used after each conversation. Use of this feature may incur additional charges.",
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"Welcome Text": "Welcome Text",
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"create app": "Create App",
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"setting": "App Setting",
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"simple": {
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@@ -270,6 +275,22 @@
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"Ideal chunk length": "Ideal chunk length",
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"Ideal chunk length Tips": "Segment by end symbol. We recommend that your document should be properly punctuated to ensure that each complete sentence length does not exceed this value \n Chinese document recommended 400~1000\n English document recommended 600~1200"
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},
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"search": {
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"Empty result response": "Empty Response",
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"Empty result response Tips": "If you fill in the content, if no suitable content is found, you will directly reply to the content.",
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"Min Similarity": "Min Similarity",
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"Min Similarity Tips": "The similarity of different index models is different, please use the search test to select the appropriate value",
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"Params Setting": "Params Setting",
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"Top K": "Top K",
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"mode": {
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"embFullTextReRank": "Hybrid search ",
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"embFullTextReRank desc": "Reordering with a mixture of vector search and full-text search results by Rerank usually works best",
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"embedding": "Vector search",
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"embedding desc": "Direct vector topk correlation query ",
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"embeddingReRank": "Enhanced semantic retrieval ",
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"embeddingReRank desc": "Sort using Rerank after overperforming vector topk queries "
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}
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},
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"test": {
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"Test": "Start",
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"Test Result": "Results",
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@@ -327,18 +348,20 @@
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},
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"variable": {
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"add option": "Add Option",
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"input type": "Text",
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"key": "Key",
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"key is required": "variable key is required",
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"select type": "Select",
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"text max length": "Max Length",
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"text type": "Text",
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"textarea type": "Textarea",
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"variable key is required": "",
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"variable name": "Name",
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"variable name is required": "variable name is required",
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"variable option is required": "Variable option is required",
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"variable option is value is required": "Variable option is value is required",
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"variable options": "Options"
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}
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},
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"variable add option": "Add Option"
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}
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},
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"dataset": {
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@@ -412,9 +435,6 @@
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"deleteDatasetTips": "Are you sure to delete the knowledge base? Data cannot be recovered after deletion, please confirm!",
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"deleteFolderTips": "Are you sure to delete this folder and all the knowledge bases it contains? Data cannot be recovered after deletion, please confirm!",
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"import csv tip": "Ensure that the CSV is in UTF-8 format; otherwise, garbled characters will be displayed",
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"recall": {
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"rerank": "Rerank"
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},
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"test": {
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"noResult": "Search results are empty"
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}
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@@ -674,7 +694,8 @@
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"bill": {
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"Audio Speech": "Audio Speech",
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"Whisper": "Whisper",
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"bill username": "User"
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"bill username": "User",
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"ReRank": "ReRank"
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}
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}
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}
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