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Connect MongoDB to your preprocessing pipeline, and use the Unstructured Ingest CLI or the Unstructured Ingest Python library to batch process all your documents and store structured outputs locally on your filesystem.

You will need:

The MongoDB prerequisites for a MongoDB Atlas deployment:

The MongoDB connector dependencies:

CLI, Python
pip install "unstructured-ingest[mongodb]"

You might also need to install additional dependencies, depending on your needs. Learn more.

For a MongoDB Atlas deployment, the following environment variables:

  • MONGODB_DATABASE - The name of the database, represented by --database (CLI) or database (Python).

  • MONGODB_COLLECTION - The name of the collection in the database, represented by --collection (CLI) or collection (Python).

  • MONGODB_URI - The URI for the cluster, represented by --uri (CLI) or uri (Python).

For a local MongoDB server, the following environment variables:

  • MONGODB_HOST - The host for the local MongoDB server, represented by --host (CLI) or host (Python).

  • MONGODB_PORT - The port for the local MongoDB server, represented by --port (CLI) or port (Python).

These environment variables:

  • UNSTRUCTURED_API_KEY - Your Unstructured API key value.
  • UNSTRUCTURED_API_URL - Your Unstructured API URL.

Now call the Unstructured Ingest CLI or the Unstructured Ingest Python library. The destination connector can be any of the ones supported. This example uses the local destination connector: