Qdrant

Configure your own Qdrant instance as data sink.

Configure via UI

Configure via API / Client

Python Client

from llama_cloud.types import CloudQdrantVectorStore

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

TypeScript Client

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
})