Qdrant

Configure your own Qdrant instance as data sink.

Configure via UI

Configure via API / Client

```python from llama_cloud.types import CloudQdrantVectorStore

ds = { ‘name’: '', ‘sink_type’: ‘QDRANT’, ‘component’: CloudQdrantVectorStore( api_key=‘<api_key>’, collection_name=‘<collection_name>’, url='', max_retries=‘<max_retries>’, # optional client_kwargs=‘<client_kwargs>’ # optional ) } data_sink = client.data_sinks.create_data_sink(request=ds)

</TabItem>
<TabItem value="typescript" label="TypeScript Client" default>
```Typescript
const ds = {
  'name': 'qdrant',
  'sinkType': 'QDRANT',
  'component': {
      'api_key': '<api_key>',
      'collection_name': '<collection_name>',
      'url': '<url>',
      'max_retries': '<max_retries>',  // optional
      'client_kwargs': '<client_kwargs>'  // optional
  }
}

data_sink = await client.dataSinks.createDataSink({
projectId: projectId,
body: ds
})