Loads Microsoft Excel files.
Load Microsoft Excel files using Unstructured.
Like other Unstructured loaders, UnstructuredExcelLoader can be used in both "single" and "elements" mode. If you use the loader in "elements" mode, each sheet in the Excel file will be an Unstructured Table element. If you use the loader in "single" mode, an HTML representation of the table will be available in the "text_as_html" key in the document metadata.
from langchain_community.document_loaders.excel import UnstructuredExcelLoader
loader = UnstructuredExcelLoader("stanley-cups.xlsx", mode="elements") docs = loader.load()
Load files 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.
from langchain_community.document_loaders import UnstructuredFileLoader
loader = UnstructuredFileLoader( "example.pdf", mode="elements", strategy="fast", ) docs = loader.load()
https://docs.unstructured.io/open-source/core-functionality/partitioning https://docs.unstructured.io/open-source/core-functionality/chunking
