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Harrison/parameter (#7081)

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add parameter to use original question or not

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
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Harrison Chase 2023-07-05 20:51:25 -04:00 committed by GitHub
parent 930e319ca7
commit 695e7027e6
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1 changed files with 12 additions and 4 deletions
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16
langchain/chains/conversational_retrieval/base.py
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@ -63,6 +63,11 @@ class BaseConversationalRetrievalChain(Chain):
a new standalone question to be used later on."""
output_key: str = "answer"
"""The output key to return the final answer of this chain in."""
rephrase_question: bool = True
"""Whether or not to pass the new generated question to the combine_docs_chain.
If True, will pass the new generated question along.
If False, will only use the new generated question for retrieval and pass the
original question along to the combine_docs_chain."""
return_source_documents: bool = False
"""Return the retrieved source documents as part of the final result."""
return_generated_question: bool = False
@ -131,7 +136,8 @@ class BaseConversationalRetrievalChain(Chain):
else:
docs = self._get_docs(new_question, inputs) # type: ignore[call-arg]
new_inputs = inputs.copy()
new_inputs["question"] = new_question
if self.rephrase_question:
new_inputs["question"] = new_question
new_inputs["chat_history"] = chat_history_str
answer = self.combine_docs_chain.run(
input_documents=docs, callbacks=_run_manager.get_child(), **new_inputs
@ -178,7 +184,8 @@ class BaseConversationalRetrievalChain(Chain):
docs = await self._aget_docs(new_question, inputs) # type: ignore[call-arg]
new_inputs = inputs.copy()
new_inputs["question"] = new_question
if self.rephrase_question:
new_inputs["question"] = new_question
new_inputs["chat_history"] = chat_history_str
answer = await self.combine_docs_chain.arun(
input_documents=docs, callbacks=_run_manager.get_child(), **new_inputs
@ -212,8 +219,9 @@ class ConversationalRetrievalChain(BaseConversationalRetrievalChain):
2. This new question is passed to the retriever and relevant documents are
returned.
3. The retrieved documents are passed to an LLM along with the new question to
generate a final answer.
3. The retrieved documents are passed to an LLM along with either the new question
(default behavior) or the original question and chat history to generate a final
response.
Example:
.. code-block:: python