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# `langchain_community.document_loaders.azure_ai_data`.AzureAIDataLoader

class langchain_community.document_loaders.azure_ai_data.AzureAIDataLoader(url: str, glob: Optional[str] = None)

  Load from Azure AI Data.

  Initialize with URL to a data asset or storage location .

  Attributes

  `url` | URL to the data asset or storage location.
  `glob_pattern` | Optional glob pattern to select files.

  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 (Optional[str]) –

  __init__(url: str, glob: Optional[str] = None)

    Initialize with URL to a data asset or storage location .

    Parameters

      - url (str) –

      - glob (Optional[str]) –

  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: 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 AzureAIDataLoader

- Create a connection to your project

- Microsoft