mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
ed789be8f4
- chat models, messages - documents - agentaction/finish - baseretriever,document - stroutputparser - more messages - basemessage - format_document - baseoutputparser --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
34 lines
848 B
Python
34 lines
848 B
Python
from langchain import hub
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from langchain_community.chat_models import ChatAnthropic
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from langchain_community.utilities import WikipediaAPIWrapper
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from langchain_core.output_parsers import StrOutputParser
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from langchain_core.pydantic_v1 import BaseModel
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from langchain_core.runnables import RunnableLambda, RunnablePassthrough
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class Question(BaseModel):
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__root__: str
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wiki = WikipediaAPIWrapper(top_k_results=5)
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prompt = hub.pull("bagatur/chain-of-note-wiki")
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llm = ChatAnthropic(model="claude-2")
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def format_docs(docs):
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return "\n\n".join(
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f"Wikipedia {i+1}:\n{doc.page_content}" for i, doc in enumerate(docs)
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)
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chain = (
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{
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"passages": RunnableLambda(wiki.load) | format_docs,
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"question": RunnablePassthrough(),
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}
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| prompt
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| llm
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| StrOutputParser()
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).with_types(input_type=Question)
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