AzureAIDataLoader

class langchain_community.document_loaders.azure_ai_data.AzureAIDataLoader(url: str, glob: str | None = None)

Load from Azure AI Data.

Initialize with URL to a data asset or storage location .

Attributes

Methods

__init__(url[, glob])	Initialize with URL to a data asset or storage location
alazy_load()	A lazy loader for Documents.
aload()	Load data into Document objects.
lazy_load()	A lazy loader for Documents.
load()	Load data into Document objects.
load_and_split([text_splitter])	Load Documents and split into chunks.

Parameters:

• url (str) –

• glob (str | None) –

__init__(url: str, glob: str | None = None)

Initialize with URL to a data asset or storage location .

Parameters:

• url (str) –

• glob (str | None) –

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 data into Document objects.

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]

Examples using AzureAIDataLoader

• Azure AI Data

• Microsoft