The MarqoSink class is a connector for Marqo, a vector database provider that enables multimodal vector search.

​
Properties

Required properties:

  • url: URL for accessing the Marqo service.
  • index_name: Name of the index in Marqo where the data will be stored.

Optional properties:

  • api_key: API key required for authenticating with the Marqo cloud service.
from neumai.SinkConnectors import MarqoSink

# Setup the PineconeSink with required credentials and index information
marqo_sink = MarqoSink(
    url = "marqo_url",
    index_name = "test_index",
    # If using Marqo cloud then add:
    # api_key = "marqo_cloud_api_key"
)

The MarqoSink class is a connector for Marqo, a vector database provider that enables multimodal vector search.

​
Properties

Required properties:

  • url: URL for accessing the Marqo service.
  • index_name: Name of the index in Marqo where the data will be stored.

Optional properties:

  • api_key: API key required for authenticating with the Marqo cloud service.
from neumai.SinkConnectors import MarqoSink

# Setup the PineconeSink with required credentials and index information
marqo_sink = MarqoSink(
    url = "marqo_url",
    index_name = "test_index",
    # If using Marqo cloud then add:
    # api_key = "marqo_cloud_api_key"
)