langchain-unstructured

langchain-unstructured

This package contains the LangChain integration with Unstructured

Installation

pip install -U langchain-unstructured

And you should configure credentials by setting the following environment variables:

export UNSTRUCTURED_API_KEY="your-api-key"

Loaders

Partition and load files using either the unstructured-client sdk and the Unstructured API or locally using the unstructured library.

API: To partition via the Unstructured API pip install unstructured-client and set partition_via_api=True and define api_key. If you are running the unstructured API locally, you can change the API rule by defining url 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.

Local: By default the file loader uses the Unstructured partition function and will automatically detect the file type.

In addition to document specific partition parameters, Unstructured has a rich set of "chunking" parameters for post-processing elements into more useful text segments for uses cases such as Retrieval Augmented Generation (RAG). You can pass additional Unstructured kwargs to the loader to configure different unstructured settings.

Setup:

    pip install -U langchain-unstructured
    pip install -U unstructured-client
    export UNSTRUCTURED_API_KEY="your-api-key"

Instantiate:

from langchain_unstructured import UnstructuredLoader

loader = UnstructuredLoader(
    file_path = ["example.pdf", "fake.pdf"],
    api_key=UNSTRUCTURED_API_KEY,
    partition_via_api=True,
    chunking_strategy="by_title",
    strategy="fast",
)

Load:

docs = loader.load()

print(docs[0].page_content[:100])
print(docs[0].metadata)

References

https://docs.unstructured.io/api-reference/api-services/sdk https://docs.unstructured.io/api-reference/api-services/overview https://docs.unstructured.io/open-source/core-functionality/partitioning https://docs.unstructured.io/open-source/core-functionality/chunking