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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:

  • A MongoDB Atlas account. Create an account.

  • A MongoDB Atlas cluster. Create a cluster.

  • The cluster must be reachable from your application environment. Learn how.

  • The cluster must be configured to use your IP address. Learn how.

  • The cluster must have at least one database. Create a database.

  • The database must have at least one user, and that user must have sufficient access to the database. Create a database user. Give the user database access.

  • The database must have at least one collection. Create a collection.

  • The connection string for the cluster. For MongoDB Atlas, this connection string must include the protocol, username, password, host, and cluster name. For example:

    mongodb+srv://<db_user>:<db_password>@<host>/?retryWrites=true&w=majority&appName=<cluster>
    

    To get the connection string in MongoDB Atlas, do the following:

    1. Log in to your MongoDB Atlas console.

    2. In the sidebar, under Databases, click Clusters.

    3. Click on the cluster you want to connect to.

    4. Click Connect, or click the Cmd Line Tools tab and then click Connect Instructions.

    5. Click Drivers.

    6. Under Add your connection string into your application code, copy the connection string. You can then close the Connect dialog in MongoDB Atlas.

      Before you use this connection string, be sure to fill in any placeholders in the string, such as your MongoDB Atlas database user’s password value.

    Learn more.

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 connection string 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: