azure_ai_data

Load file-like objects opened in read mode using Unstructured.

The file loader uses the unstructured partition function and will automatically detect the file type. You can run the loader in different modes: "single", "elements", and "paged". The default "single" mode will return a single langchain Document object. If you use "elements" mode, the unstructured library will split the document into elements such as Title and NarrativeText and return those as individual langchain Document objects. In addition to these post-processing modes (which are specific to the LangChain Loaders), Unstructured has its own "chunking" parameters for post-processing elements into more useful chunks for uses cases such as Retrieval Augmented Generation (RAG). You can pass in additional unstructured kwargs to configure different unstructured settings.

Examples

from langchain_community.document_loaders import UnstructuredFileIOLoader

with open("example.pdf", "rb") as f: loader = UnstructuredFileIOLoader( f, mode="elements", strategy="fast", ) docs = loader.load()

References