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prompts.py — langchain Source File

Architecture documentation for prompts.py, a python file in the langchain codebase. 1 imports, 0 dependents.

File python 1 imports

Entity Profile

Dependency Diagram

graph LR
  30ac77f3_fbb5_0118_7480_875ed74c68eb["prompts.py"]
  4b3dcc0f_d872_0044_39ec_2d289f87f9e6["langchain_core.prompts.prompt"]
  30ac77f3_fbb5_0118_7480_875ed74c68eb --> 4b3dcc0f_d872_0044_39ec_2d289f87f9e6
  style 30ac77f3_fbb5_0118_7480_875ed74c68eb fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

from langchain_core.prompts.prompt import PromptTemplate

web_search_template = """Please write a passage to answer the question
Question: {QUESTION}
Passage:"""
web_search = PromptTemplate(template=web_search_template, input_variables=["QUESTION"])
sci_fact_template = """Please write a scientific paper passage to support/refute the claim
Claim: {Claim}
Passage:"""  # noqa: E501
sci_fact = PromptTemplate(template=sci_fact_template, input_variables=["Claim"])
arguana_template = """Please write a counter argument for the passage
Passage: {PASSAGE}
Counter Argument:"""
arguana = PromptTemplate(template=arguana_template, input_variables=["PASSAGE"])
trec_covid_template = """Please write a scientific paper passage to answer the question
Question: {QUESTION}
Passage:"""
trec_covid = PromptTemplate(template=trec_covid_template, input_variables=["QUESTION"])
fiqa_template = """Please write a financial article passage to answer the question
Question: {QUESTION}
Passage:"""
fiqa = PromptTemplate(template=fiqa_template, input_variables=["QUESTION"])
dbpedia_entity_template = """Please write a passage to answer the question.
Question: {QUESTION}
Passage:"""
dbpedia_entity = PromptTemplate(
    template=dbpedia_entity_template, input_variables=["QUESTION"]
)
trec_news_template = """Please write a news passage about the topic.
Topic: {TOPIC}
Passage:"""
trec_news = PromptTemplate(template=trec_news_template, input_variables=["TOPIC"])
mr_tydi_template = """Please write a passage in Swahili/Korean/Japanese/Bengali to answer the question in detail.
Question: {QUESTION}
Passage:"""  # noqa: E501
mr_tydi = PromptTemplate(template=mr_tydi_template, input_variables=["QUESTION"])
PROMPT_MAP = {
    "web_search": web_search,
    "sci_fact": sci_fact,
    "arguana": arguana,
    "trec_covid": trec_covid,
    "fiqa": fiqa,
    "dbpedia_entity": dbpedia_entity,
    "trec_news": trec_news,
    "mr_tydi": mr_tydi,
}

Dependencies

  • langchain_core.prompts.prompt

Frequently Asked Questions

What does prompts.py do?
prompts.py is a source file in the langchain codebase, written in python.
What does prompts.py depend on?
prompts.py imports 1 module(s): langchain_core.prompts.prompt.
Where is prompts.py in the architecture?
prompts.py is located at libs/langchain/langchain_classic/chains/hyde/prompts.py (directory: libs/langchain/langchain_classic/chains/hyde).

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