DoctranPropertyExtractor#
- class langchain_community.document_transformers.doctran_text_extract.DoctranPropertyExtractor(properties: List[dict], openai_api_key: str | None = None, openai_api_model: str | None = None)[source]#
Extract properties from text documents using doctran.
- Parameters:
properties (List[dict]) β A list of the properties to extract.
openai_api_key (str | None) β OpenAI API key. Can also be specified via environment variable
OPENAI_API_KEY
.openai_api_model (str | None)
Example
from langchain_community.document_transformers import DoctranPropertyExtractor properties = [ { "name": "category", "description": "What type of email this is.", "type": "string", "enum": ["update", "action_item", "customer_feedback", "announcement", "other"], "required": True, }, { "name": "mentions", "description": "A list of all people mentioned in this email.", "type": "array", "items": { "name": "full_name", "description": "The full name of the person mentioned.", "type": "string", }, "required": True, }, { "name": "eli5", "description": "Explain this email to me like I'm 5 years old.", "type": "string", "required": True, }, ] # Pass in openai_api_key or set env var OPENAI_API_KEY property_extractor = DoctranPropertyExtractor(properties) transformed_document = await qa_transformer.atransform_documents(documents)
Methods
__init__
(properties[,Β openai_api_key,Β ...])atransform_documents
(documents,Β **kwargs)Extracts properties from text documents using doctran.
transform_documents
(documents,Β **kwargs)Extracts properties from text documents using doctran.
- __init__(properties: List[dict], openai_api_key: str | None = None, openai_api_model: str | None = None) None [source]#
- Parameters:
properties (List[dict])
openai_api_key (str | None)
openai_api_model (str | None)
- Return type:
None
Examples using DoctranPropertyExtractor