langchain.retrievers.pubmed.PubMedRetriever¶
class langchain.retrievers.pubmed.PubMedRetriever[source]¶
Bases: BaseRetriever, PubMedAPIWrapper
PubMed API retriever.
It wraps load() to get_relevant_documents().
It uses all PubMedAPIWrapper arguments without any change.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param MAX_QUERY_LENGTH: int = 300¶
param base_url_efetch: str = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?'¶
param base_url_esearch: str = 'https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?'¶
param doc_content_chars_max: int = 2000¶
param email: str = 'your_email@example.com'¶
param max_retry: int = 5¶
param metadata: Optional[Dict[str, Any]] = None¶
Optional metadata associated with the retriever. Defaults to None
This metadata will be associated with each call to this retriever,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a retriever with its
use case.
param sleep_time: float = 0.2¶
param tags: Optional[List[str]] = None¶
Optional list of tags associated with the retriever. Defaults to None
These tags will be associated with each call to this retriever,
and passed as arguments to the handlers defined in callbacks.
You can use these to eg identify a specific instance of a retriever with its
use case.
param top_k_results: int = 3¶