langchain_community.document_loaders.text.TextLoader¶

class langchain_community.document_loaders.text.TextLoader(file_path: str, encoding: Optional[str] = None, autodetect_encoding: bool = False)[source]¶

Load text file.

Parameters

  • file_path (str) – Path to the file to load.

  • encoding (Optional[str]) – File encoding to use. If None, the file will be loaded

  • encoding. (with the default system) –

  • autodetect_encoding (bool) – Whether to try to autodetect the file encoding if the specified encoding fails.

Initialize with file path.

Methods

__init__(file_path[, encoding, ...])

Initialize with file path.

alazy_load()

A lazy loader for Documents.

lazy_load()

Load from file path.

load()

Load data into Document objects.

load_and_split([text_splitter])

Load Documents and split into chunks.
__init__(file_path: str, encoding: Optional[str] = None, autodetect_encoding: bool = False)[source]¶

Initialize with file path.

Parameters

  • file_path (str) –

  • encoding (Optional[str]) –

  • autodetect_encoding (bool) –

async alazy_load() → AsyncIterator[Document]¶

A lazy loader for Documents.

Return type

AsyncIterator[Document]

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

Load from file path.

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]

Examples using TextLoader¶