unstructured

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.

Examples

from langchain_community.document_loaders import UnstructuredFileLoader

loader = UnstructuredFileLoader( "example.pdf", mode="elements", strategy="fast", ) docs = loader.load()

References

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

Send file-like objects with unstructured-client sdk to the Unstructured API.

By default, the loader makes a call to the hosted Unstructured API. If you are running the unstructured API locally, you can change the API rule by passing in the url parameter when you initialize the loader. The hosted Unstructured API requires an API key. See the links below to learn more about our API offerings and get an API key.

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 UnstructuredAPIFileLoader

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

References