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Couchbase is a Distributed NoSQL Cloud Database. Couchbase embraces AI with coding assistance for developers, and vector search for their applications.

Batch process all your records to store structured outputs in a Couchbase database.

You will need:

The Couchbase database prerequisites.

For Couchbase Capella, you will need:

For a local Couchbase server, you will need:

  • Installation of a local Couchbase server. Learn how.
  • Connection details to the local Couchbase server. Learn how.

To learn more about how to set up a Couchbase cluster and play with data, refer to this tutorial.

The Couchbase DB connector dependencies:

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

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

These environment variables are required for the Couchbase Connector:

  • CB_CONN_STR - The Connection String for the Couchbase server, represented by --connection-string (CLI) or connection_string (Python).
  • CB_USERNAME - The username for the Couchbase server, represented by --username (CLI) or username (Python).
  • CB_PASSWORD - The password for the Couchbase server, represented by --password (CLI) or password (Python).
  • CB_BUCKET - The name of the bucket in the Couchbase server, represented by --bucket (CLI) or bucket (Python).
  • CB_SCOPE - The name of the scope in the bucket, represented by --scope (CLI) or scope (Python).
  • CB_COLLECTION - The name of the collection in the scope, represented by --collection (CLI) or collection (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 source connector can be any of the ones supported. This example uses the local source connector:

To understand how vector search works in Couchbase, refer to this tutorial and the Couchbase docs.