> ## 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.

# SingleStoreSink

> SingleStoreSink enables the storage, retrieval, and semantic search of vectorized data in SingleStore databases, suitable for high-performance data operations.

The `SingleStoreSink` class is designed to interact with SingleStore databases, offering functionality for storing vectors and performing similarity searches.

## Properties

Required properties:

* `url`: The connection URL to the SingleStore database.
* `api_key`: The API key for accessing SingleStore services.
* `collection_name`: The name of the collection (table) within the SingleStore database to operate upon.

<CodeGroup>
  ```python Local Development
  from neumai.SinkConnectors import SingleStoreSink

  # Configure the SingleStoreSink with the necessary connection information
  singlestore_sink = SingleStoreSink(
      url = "your-singlestore-db-url",
      api_key = "your-api-key",
      collection_name = "collection-name"
  )
  ```

  ```json Cloud
  {
      "sink": {
          "sink_name":"SingleStoreSink",
          "sink_information":{
              "url": "your-singlestore-db-url",
              "api_key": "your-api-key",
              "collection_name": "collection-name"
          }
      }
  }
  ```
</CodeGroup>