mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
dd2a151543
### Summary The Unstructured API will soon begin requiring API keys. This PR updates the Unstructured integrations docs with instructions on how to generate Unstructured API keys. ### Reviewers @rlancemartin @eyurtsev @hwchase17
54 lines
2.4 KiB
Plaintext
54 lines
2.4 KiB
Plaintext
# Unstructured
|
|
|
|
>The `unstructured` package from
|
|
[Unstructured.IO](https://www.unstructured.io/) extracts clean text from raw source documents like
|
|
PDFs and Word documents.
|
|
This page covers how to use the [`unstructured`](https://github.com/Unstructured-IO/unstructured)
|
|
ecosystem within LangChain.
|
|
|
|
## Installation and Setup
|
|
|
|
If you are using a loader that runs locally, use the following steps to get `unstructured` and
|
|
its dependencies running locally.
|
|
|
|
- Install the Python SDK with `pip install "unstructured[local-inference]"`
|
|
- Install the following system dependencies if they are not already available on your system.
|
|
Depending on what document types you're parsing, you may not need all of these.
|
|
- `libmagic-dev` (filetype detection)
|
|
- `poppler-utils` (images and PDFs)
|
|
- `tesseract-ocr`(images and PDFs)
|
|
- `libreoffice` (MS Office docs)
|
|
- `pandoc` (EPUBs)
|
|
|
|
If you want to get up and running with less set up, you can
|
|
simply run `pip install unstructured` and use `UnstructuredAPIFileLoader` or
|
|
`UnstructuredAPIFileIOLoader`. That will process your document using the hosted Unstructured API.
|
|
|
|
|
|
The Unstructured API requires API keys to make requests.
|
|
You can generate a free API key [here](https://www.unstructured.io/api-key) and start using it today!
|
|
Checkout the README [here](https://github.com/Unstructured-IO/unstructured-api) here to get started making API calls.
|
|
We'd love to hear your feedback, let us know how it goes in our [community slack](https://join.slack.com/t/unstructuredw-kbe4326/shared_invite/zt-1x7cgo0pg-PTptXWylzPQF9xZolzCnwQ).
|
|
And stay tuned for improvements to both quality and performance!
|
|
Check out the instructions
|
|
[here](https://github.com/Unstructured-IO/unstructured-api#dizzy-instructions-for-using-the-docker-image) if you'd like to self-host the Unstructured API or run it locally.
|
|
|
|
## Wrappers
|
|
|
|
### Data Loaders
|
|
|
|
The primary `unstructured` wrappers within `langchain` are data loaders. The following
|
|
shows how to use the most basic unstructured data loader. There are other file-specific
|
|
data loaders available in the `langchain.document_loaders` module.
|
|
|
|
```python
|
|
from langchain.document_loaders import UnstructuredFileLoader
|
|
|
|
loader = UnstructuredFileLoader("state_of_the_union.txt")
|
|
loader.load()
|
|
```
|
|
|
|
If you instantiate the loader with `UnstructuredFileLoader(mode="elements")`, the loader
|
|
will track additional metadata like the page number and text type (i.e. title, narrative text)
|
|
when that information is available.
|