langchain_community.retrievers.google_cloud_documentai_warehouse.GoogleDocumentAIWarehouseRetriever¶
class langchain_community.retrievers.google_cloud_documentai_warehouse.GoogleDocumentAIWarehouseRetriever[source]¶
Bases: BaseRetriever
A retriever based on Document AI Warehouse.
Documents should be created and documents should be uploadedin a separate flow, and this retriever uses only Document AI
schema_id provided to search for revelant documents.
More info: https://cloud.google.com/document-ai-warehouse.
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 location: str = 'us'¶
Google Cloud location where Document AI Warehouse is placed.
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 project_number: str [Required]¶
Google Cloud project number, should contain digits only.
param qa_size_limit: int = 5¶
The limit on the number of documents returned.
param schema_id: Optional[str] = None¶
Document AI Warehouse schema to query against.
If nothing is provided, all documents in the project will be searched.
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.