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fix: 修复知识库检索向量模型不一致时错误提示 #897

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Jul 30, 2024
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fix: 修复知识库检索向量模型不一致时错误提示 #897

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2 changes: 1 addition & 1 deletion apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ def get_model_by_id(_id, user_id):
def get_embedding_id(dataset_id_list):
dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list)
if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1:
raise Exception("知识库未向量模型不一致")
raise Exception("关联知识库的向量模型不一致，无法召回分段。")
if len(dataset_list) == 0:
raise Exception("知识库设置错误,请重新设置知识库")
return dataset_list[0].embedding_mode_id
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2 changes: 1 addition & 1 deletion apps/application/flow/step_node/search_dataset_node/impl/base_search_dataset_node.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
def get_embedding_id(dataset_id_list):
dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list)
if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1:
raise Exception("知识库未向量模型不一致")
raise Exception("关联知识库的向量模型不一致，无法召回分段。")
if len(dataset_list) == 0:
raise Exception("知识库设置错误,请重新设置知识库")
return dataset_list[0].embedding_mode_id
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