> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neum.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# MarqoSink

> MarqoSink enables seamless integration with Marqo vector database, supporting vector storage and similarity search for advanced data retrieval.

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.

<CodeGroup>
  ```python Local Development
  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"
  )
  ```
</CodeGroup>