Milvus

Configure your own Milvus Vector DB instance as data sink.

Configure via UI

Configure via API / Client

Python Client

from llama_cloud.types import CloudMilvusVectorStore

ds = {
  'name': '<your-name>',
  'sink_type': 'MILVUS',
  'component': CloudMilvusVectorStore(
      uri='<uri>',
      collection_name='<collection_name>',
      token='<token>',  # optional
      # embedding dimension
      dim='<dim>'  # optional
  )
}
data_sink = client.data_sinks.create_data_sink(request=ds)

TypeScript Client

const ds = {
    'name': 'milvus',
    'sinkType': 'MILVUS',
    'component': {
        'uri': '<uri>',
        'collection_name': '<collection_name>',
        'token': '<token>',  // optional
        // embedding dimension
        'dim': '<dim>'  // optional
    }
}

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