langchain_community.document_loaders.parsers.doc_intelligence.AzureAIDocumentIntelligenceParser¶

class langchain_community.document_loaders.parsers.doc_intelligence.AzureAIDocumentIntelligenceParser(api_endpoint: str, api_key: str, api_version: Optional[str] = None, api_model: str = 'prebuilt-layout', mode: str = 'markdown')[source]¶

Loads a PDF with Azure Document Intelligence (formerly Forms Recognizer).

Methods

__init__(api_endpoint, api_key[, ...])

lazy_parse(blob)

Lazily parse the blob.

parse(blob)

Eagerly parse the blob into a document or documents.

parse_url(url)

Parameters

  • api_endpoint (str) –

  • api_key (str) –

  • api_version (Optional[str]) –

  • api_model (str) –

  • mode (str) –

__init__(api_endpoint: str, api_key: str, api_version: Optional[str] = None, api_model: str = 'prebuilt-layout', mode: str = 'markdown')[source]¶
Parameters

  • api_endpoint (str) –

  • api_key (str) –

  • api_version (Optional[str]) –

  • api_model (str) –

  • mode (str) –

lazy_parse(blob: Blob) → Iterator[Document][source]¶

Lazily parse the blob.

Parameters

blob (Blob) –

Return type

Iterator[Document]

parse(blob: Blob) → List[Document]¶

Eagerly parse the blob into a document or documents.

This is a convenience method for interactive development environment.

Production applications should favor the lazy_parse method instead.

Subclasses should generally not over-ride this parse method.

Parameters

blob (Blob) – Blob instance

Returns

List of documents

Return type

List[Document]

parse_url(url: str) → Iterator[Document][source]¶
Parameters

url (str) –

Return type

Iterator[Document]