DocumentIntelligenceLoader#
- class langchain_community.document_loaders.pdf.DocumentIntelligenceLoader(file_path: str, client: Any, model: str = 'prebuilt-document', headers: Dict | None = None)[source]#
Load a PDF with Azure Document Intelligence
Initialize the object for file processing with Azure Document Intelligence (formerly Form Recognizer).
This constructor initializes a DocumentIntelligenceParser object to be used for parsing files using the Azure Document Intelligence API. The load method generates a Document node including metadata (source blob and page number) for each page.
Parameters:#
- file_pathstr
The path to the file that needs to be parsed.
- client: Any
A DocumentAnalysisClient to perform the analysis of the blob
- modelstr
The model name or ID to be used for form recognition in Azure.
Examples:#
>>> obj = DocumentIntelligenceLoader( ... file_path="path/to/file", ... client=client, ... model="prebuilt-document" ... )
Attributes
source
Methods
__init__
(file_path, client[, model, headers])Initialize the object for file processing with Azure Document Intelligence (formerly Form Recognizer).
A lazy loader for Documents.
aload
()Load data into Document objects.
Lazy load given path as pages.
load
()Load given path as pages.
load_and_split
([text_splitter])Load Documents and split into chunks.
- __init__(file_path: str, client: Any, model: str = 'prebuilt-document', headers: Dict | None = None) None [source]#
Initialize the object for file processing with Azure Document Intelligence (formerly Form Recognizer).
This constructor initializes a DocumentIntelligenceParser object to be used for parsing files using the Azure Document Intelligence API. The load method generates a Document node including metadata (source blob and page number) for each page.
Parameters:#
- file_pathstr
The path to the file that needs to be parsed.
- client: Any
A DocumentAnalysisClient to perform the analysis of the blob
- modelstr
The model name or ID to be used for form recognition in Azure.
Examples:#
>>> obj = DocumentIntelligenceLoader( ... file_path="path/to/file", ... client=client, ... model="prebuilt-document" ... )
- Parameters:
file_path (str)
client (Any)
model (str)
headers (Dict | None)
- 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_and_split(text_splitter: TextSplitter | None = 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:
file_path (str)
client (Any)
model (str)
headers (Dict | None)