try rrf
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15
main.py
15
main.py
@ -11,7 +11,20 @@ def query(query:str):
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res = []
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list = search_paper(query)
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for i in list:
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res.append({'id':'','datasetId':__CONFIG__['fastgpt_setId'], 'collectionId':__CONFIG__['fastgpt_colId'], 'sourceName':'Semantic Scholar','sourceId?':'', 'q':str(i['title']), 'a':str(i['abstract'])})
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res.append({
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'id':'','datasetId':__CONFIG__['fastgpt_setId'],
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'collectionId':__CONFIG__['fastgpt_colId'],
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'sourceName':'Semantic Scholar',
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'sourceId?':'',
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'q':str(i['title']),
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'a':str(i['abstract']),
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'score':[
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{
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'type': 'rrf'
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'value':0.8
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}
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]
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})
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print(i['title'])
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return res
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