DocugamiLoader

class langchain_community.document_loaders.docugami.DocugamiLoader

Bases: BaseLoader, BaseModel

Deprecated since version 0.0.24: Use docugami_langchain.DocugamiLoader instead.

Load from Docugami.

To use, you should have the dgml-utils python package installed.

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 access_token: str | None = None

The Docugami API access token to use.

param api: str = 'https://api.docugami.com/v1preview1'

The Docugami API endpoint to use.

param docset_id: str | None = None

The Docugami API docset ID to use.

param document_ids: Sequence[str] | None = None

The Docugami API document IDs to use.

param file_paths: Sequence[Path | str] | None = None

The local file paths to use.

param include_project_metadata_in_doc_metadata: bool = True

Set to True if you want to include the project metadata in the doc metadata.

param include_xml_tags: bool = False

Set to true for XML tags in chunk output text.

param max_metadata_length: int = 512

Max length of metadata text returned.

param max_text_length: int = 4096

Max length of chunk text returned.

param min_text_length: int = 32

Threshold under which chunks are appended to next to avoid over-chunking.

param parent_hierarchy_levels: int = 0

Set appropriately to get parent chunks using the chunk hierarchy.

param parent_id_key: str = 'doc_id'

Metadata key for parent doc ID.

param sub_chunk_tables: bool = False

Set to True to return sub-chunks within tables.

param whitespace_normalize_text: bool = True

Set to False if you want to full whitespace formatting in the original XML doc, including indentation.

async alazy_load() → AsyncIterator[Document]

A lazy loader for Documents.

Return type:

AsyncIterator[Document]

async aload() → List[Document]

Load data into Document objects.

Return type:

List[Document]

lazy_load() → Iterator[Document]

A lazy loader for Documents.

Return type:

Iterator[Document]

load() → List[Document]

Load documents.

Return type:

List[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]