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Project description
Dewy LangChain Plugin
This package provides Dewy integration for LangChain.
Example:
from langchain_core.runnables import RunnableParallel, RunnablePassthrough
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from dewy_langchain import Retriever
retriever = Retriever(collection_id=collection_id)
prompt = ChatPromptTemplate.from_messages(
[
(
"system",
"""
You're a helpful AI assistant. Given a user question and some retrieved content, answer the user question.
If none of the articles answer the question, just say you don't know.
Here is the retrieved content:
{context}
""",
),
("human", "{question}"),
]
)
def format_chunks(chunks):
return "\n\n".join([d.page_content for d in chunks])
chain = (
{ "context": retriever | format_chunks, "question": RunnablePassthrough() }
| prompt
| llm
| StrOutputParser()
)
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