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@ -24,6 +24,7 @@ from langchain.pydantic_v1 import Field
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from langchain.schema import BaseRetriever, Document
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from langchain.schema.language_model import BaseLanguageModel
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class CustomBaseRetrievalQA(BaseRetrievalQA):
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"""Base class for question-answering chains."""
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@ -98,7 +99,6 @@ class CustomBaseRetrievalQA(BaseRetrievalQA):
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for k, v in inputs.items()
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if k in ["stop", "temperature", "top_k", "top_p", "max_new_tokens", "doc_prefix"]
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}
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answers = []
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if self.combine_documents_chain.memory is not None:
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buffered_history_backup, summarized_history_temp_backup = copy.deepcopy(
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self.combine_documents_chain.memory.buffered_history
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@ -117,10 +117,10 @@ class CustomBaseRetrievalQA(BaseRetrievalQA):
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) = copy.deepcopy(buffered_history_backup), copy.deepcopy(summarized_history_temp_backup)
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# if rejection_trigger_keywords is not given, return the response from LLM directly
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rejection_trigger_keywrods = inputs.get('rejection_trigger_keywrods', [])
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rejection_trigger_keywrods = inputs.get("rejection_trigger_keywrods", [])
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answer = answer if all([rej not in answer for rej in rejection_trigger_keywrods]) else None
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if answer is None:
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answer = inputs.get('rejection_answer', "抱歉,根据提供的信息无法回答该问题。")
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answer = inputs.get("rejection_answer", "抱歉,根据提供的信息无法回答该问题。")
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if self.combine_documents_chain.memory is not None:
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self.combine_documents_chain.memory.save_context({"question": question}, {"output": answer})
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@ -161,10 +161,14 @@ class CustomBaseRetrievalQA(BaseRetrievalQA):
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input_documents=docs, question=question, callbacks=_run_manager.get_child(), **kwargs
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)
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# if rejection_trigger_keywords is not given, return the response from LLM directly
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rejection_trigger_keywrods = inputs.get('rejection_trigger_keywrods', [])
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answer = answer if all([rej not in answer for rej in rejection_trigger_keywrods]) or len(rejection_trigger_keywrods)==0 else None
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rejection_trigger_keywrods = inputs.get("rejection_trigger_keywrods", [])
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answer = (
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answer
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if all([rej not in answer for rej in rejection_trigger_keywrods]) or len(rejection_trigger_keywrods) == 0
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else None
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)
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if answer is None:
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answer = inputs.get('rejection_answer', "抱歉,根据提供的信息无法回答该问题。")
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answer = inputs.get("rejection_answer", "抱歉,根据提供的信息无法回答该问题。")
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self.combine_documents_chain.memory.save_context({"question": question}, {"output": answer})
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if self.return_source_documents:
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