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Minor update to clarify map-reduce custom prompt usage (#7453)

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Update docs for map-reduce custom prompt usage
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Lance Martin 2023-07-10 16:43:44 -07:00 committed by GitHub
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commit bd0c6381f5
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1 changed files with 18 additions and 3 deletions
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docs/snippets/modules/chains/popular/summarize.mdx
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@ -200,22 +200,37 @@ Question: {question}
Answer:
"""
# Prompt to use in map and reduce stages
MAP_PROMPT = PromptTemplate(input_variables=["code"], template=map_template_string)
REDUCE_PROMPT = PromptTemplate(input_variables=["code_description", "question"], template=reduce_template_string)
# LLM to use in map and reduce stages
llm = OpenAI()
map_llm_chain = LLMChain(llm=llm, prompt=MAP_PROMPT)
reduce_llm_chain = LLMChain(llm=llm, prompt=REDUCE_PROMPT)
generative_result_reduce_chain = StuffDocumentsChain(
# Takes a list of documents and combines them into a single string
combine_documents_chain = StuffDocumentsChain(
llm_chain=reduce_llm_chain,
document_variable_name="code_description",
)
# Combines and iteravely reduces the mapped documents
reduce_documents_chain = ReduceDocumentsChain(
# This is final chain that is called.
combine_documents_chain=combine_documents_chain,
# If documents exceed context for `combine_documents_chain`
collapse_documents_chain=combine_documents_chain,
# The maximum number of tokens to group documents into
token_max=3000)
# Combining documents by mapping a chain over them, then combining results with reduce chain
combine_documents = MapReduceDocumentsChain(
# Map chain
llm_chain=map_llm_chain,
combine_document_chain=generative_result_reduce_chain,
# Reduce chain
reduce_documents_chain=reduce_documents_chain,
# The variable name in the llm_chain to put the documents in
document_variable_name="code",
)