mirror of
https://github.com/Unstructured-IO/unstructured.git
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a8de52e94f
### Description
This adds in a destination connector to write content to the Databricks
Unity Catalog Volumes service. Currently there is an internal account
that can be used for testing manually but there is not dedicated account
to use for testing so this is not being added to the automated ingest
tests that get run in the CI.
To test locally:
```shell
#!/usr/bin/env bash
path="testpath/$(uuidgen)"
PYTHONPATH=. python ./unstructured/ingest/main.py local \
--num-processes 4 \
--output-dir azure-test \
--strategy fast \
--verbose \
--input-path example-docs/fake-memo.pdf \
--recursive \
databricks-volumes \
--catalog "utic-dev-tech-fixtures" \
--volume "small-pdf-set" \
--volume-path "$path" \
--username "$DATABRICKS_USERNAME" \
--password "$DATABRICKS_PASSWORD" \
--host "$DATABRICKS_HOST"
```
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32 lines
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Chroma
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======================
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Batch process all your records using ``unstructured-ingest`` to store structured outputs locally on your filesystem and upload those to a Chroma database.
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First you'll need to install the Chroma dependencies as shown here.
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.. code:: shell
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pip install "unstructured[chroma]"
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Run Locally
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-----------
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The upstream connector can be any of the ones supported, but for convenience here, showing a sample command using the
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upstream local connector.
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.. tabs::
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.. tab:: Shell
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.. literalinclude:: ./code/bash/chroma.sh
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:language: bash
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.. tab:: Python
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.. literalinclude:: ./code/python/chroma.py
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:language: python
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For a full list of the options the CLI accepts check ``unstructured-ingest <upstream connector> chroma --help``.
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NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you're running this locally. You can find more information about this in the `installation guide <https://unstructured-io.github.io/unstructured/installing.html>`_. |