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"top_n":8
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"similarity_threshold":0.2,
"top_n":8
}
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},
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"frequency_penalty":0.7,
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"top_p":0.3
}
},
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],
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"Retrieval:EasyDryersShop",
"Retrieval:LazyChefsWatch"
]
}
},
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"height":44,
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"top_n":8
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"kb_ids":[],
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"top_n":8
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"label":"Retrieval",
"name":"Q->SQL"
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"max_tokens":256,
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"temperatureEnabled":true,
"topPEnabled":true,
"top_p":0.3
},
"label":"Generate",
"name":"LLM"
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"height":212,
"id":"Generate:RareSymbolsGrin",
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"form":{
"text":"Receives a sentence that the user wants to convert into SQL and displays the result of the large model's SQL conversion."
},
"label":"Note",
"name":"N: Interface"
},
"dragging":false,
"height":132,
"id":"Note:GentleRabbitsWonder",
"position":{
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"selected":false,
"sourcePosition":"right",
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"width":324
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"dragHandle":".note-drag-handle"
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{
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"text":"The large model learns which tables may be available based on the responses from three knowledge bases and converts the user's input into SQL statements."
},
"label":"Note",
"name":"N: LLM"
},
"dragging":false,
"height":147,
"id":"Note:SixCitiesJoke",
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"width":326
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"targetPosition":"left",
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"dragHandle":".note-drag-handle"
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{
"data":{
"form":{
"text":"Searches for description about meanings of tables and fields."
},
"label":"Note",
"name":"N: DB description"
},
"dragging":false,
"height":128,
"id":"Note:FamousCarpetsTaste",
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"data":{
"form":{
"text":"Searches for samples about question to SQL.\nPlease check this dataset: https://huggingface.co/datasets/InfiniFlow/text2sql"
},
"label":"Note",
"name":"N: Q->SQL"
},
"dragging":false,
"height":130,
"id":"Note:PoliteBeesArrive",
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"text":"DDL(Data Definition Language).\n\nSearches for relevant database creation statements.\n\nIt should bind with a KB to which DDL is dumped in.\nYou could use 'General' as parsing method and ';' as delimiter."
