mirror of
https://github.com/hwchase17/langchain
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38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
from typing import Iterator, Optional
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.utilities.pubmed import PubMedAPIWrapper
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class PubMedLoader(BaseLoader):
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"""Load from the `PubMed` biomedical library.
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Attributes:
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query: The query to be passed to the PubMed API.
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load_max_docs: The maximum number of documents to load.
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"""
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def __init__(
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self,
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query: str,
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load_max_docs: Optional[int] = 3,
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):
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"""Initialize the PubMedLoader.
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Args:
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query: The query to be passed to the PubMed API.
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load_max_docs: The maximum number of documents to load.
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Defaults to 3.
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"""
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self.query = query
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self.load_max_docs = load_max_docs
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self._client = PubMedAPIWrapper(
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top_k_results=load_max_docs,
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)
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def lazy_load(self) -> Iterator[Document]:
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for doc in self._client.lazy_load_docs(self.query):
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yield doc
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