langchain_community.document_loaders.doc_intelligence.AzureAIDocumentIntelligenceLoader¶

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

Loads a PDF with Azure Document Intelligence

Initialize the object for file processing with Azure Document Intelligence (formerly Form Recognizer).

This constructor initializes a AzureAIDocumentIntelligenceParser object to be used for parsing files using the Azure Document Intelligence API. The load method generates Documents whose content representations are determined by the mode parameter.

Parameters:¶

api_endpoint: str

The API endpoint to use for DocumentIntelligenceClient construction.

api_key: str

The API key to use for DocumentIntelligenceClient construction.

file_pathOptional[str]

The path to the file that needs to be loaded. Either file_path or url_path must be specified.

url_pathOptional[str]

The URL to the file that needs to be loaded. Either file_path or url_path must be specified.

api_version: Optional[str]

The API version for DocumentIntelligenceClient. Setting None to use the default value from SDK.

api_model: str

The model name or ID to be used for form recognition in Azure.

mode: Optional[str]

The type of content representation of the generated Documents.

Examples:¶

>>> obj = AzureAIDocumentIntelligenceLoader(
...     file_path="path/to/file",
...     api_endpoint="https://endpoint.azure.com",
...     api_key="APIKEY",
...     api_version="2023-10-31-preview",
...     model="prebuilt-document",
...     mode="markdown"
... )

Methods

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

Initialize the object for file processing with Azure Document Intelligence (formerly Form Recognizer).

alazy_load()

A lazy loader for Documents.

lazy_load()

Lazy load given path as pages.

load()

Load data into Document objects.

load_and_split([text_splitter])

Load Documents and split into chunks.
__init__(api_endpoint: str, api_key: str, file_path: Optional[str] = None, url_path: Optional[str] = None, api_version: Optional[str] = None, api_model: str = 'prebuilt-layout', mode: str = 'markdown') → None[source]¶

Initialize the object for file processing with Azure Document Intelligence (formerly Form Recognizer).

This constructor initializes a AzureAIDocumentIntelligenceParser object to be used for parsing files using the Azure Document Intelligence API. The load method generates Documents whose content representations are determined by the mode parameter.

Parameters:¶

api_endpoint: str

The API endpoint to use for DocumentIntelligenceClient construction.

api_key: str

The API key to use for DocumentIntelligenceClient construction.

file_pathOptional[str]

The path to the file that needs to be loaded. Either file_path or url_path must be specified.

url_pathOptional[str]

The URL to the file that needs to be loaded. Either file_path or url_path must be specified.

api_version: Optional[str]

The API version for DocumentIntelligenceClient. Setting None to use the default value from SDK.

api_model: str

The model name or ID to be used for form recognition in Azure.

mode: Optional[str]

The type of content representation of the generated Documents.

Examples:¶

>>> obj = AzureAIDocumentIntelligenceLoader(
...     file_path="path/to/file",
...     api_endpoint="https://endpoint.azure.com",
...     api_key="APIKEY",
...     api_version="2023-10-31-preview",
...     model="prebuilt-document",
...     mode="markdown"
... )
Parameters

  • api_endpoint (str) –

  • api_key (str) –

  • file_path (Optional[str]) –

  • url_path (Optional[str]) –

  • api_version (Optional[str]) –

  • api_model (str) –

  • mode (str) –

Return type

None

async alazy_load() → AsyncIterator[Document]¶

A lazy loader for Documents.

Return type

AsyncIterator[Document]

lazy_load() → Iterator[Document][source]¶

Lazy load given path as pages.

Return type

Iterator[Document]

load() → List[Document]¶

Load data into Document objects.

Return type

List[Document]

load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶

Load Documents and split into chunks. Chunks are returned as Documents.

Do not override this method. It should be considered to be deprecated!

Parameters

text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

Return type

List[Document]

Parameters

  • api_endpoint (str) –

  • api_key (str) –

  • file_path (Optional[str]) –

  • url_path (Optional[str]) –

  • api_version (Optional[str]) –

  • api_model (str) –

  • mode (str) –