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a6f767ae7a
Adds a loader for Slack Exports which can be a very valuable source of
knowledge to use for internal QA bots and other use cases.
```py
# Export data from your Slack Workspace first.
from langchain.document_loaders import SLackDirectoryLoader
SLACK_WORKSPACE_URL = "https://awesome.slack.com"
loader = ("Slack_Exports", SLACK_WORKSPACE_URL)
docs = loader.load()
```
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Co-authored-by: Mikhail Dubov <mikhail@chattermill.io>
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|---|---|---|
| .. | ||
| document_loaders/examples | ||
| retrievers/examples | ||
| text_splitters | ||
| vectorstores | ||
| document_loaders.rst | ||
| getting_started.ipynb | ||
| retrievers.rst | ||
| text_splitters.rst | ||
| vectorstores.rst | ||