diff --git a/docs/training/index.mdx b/docs/training/index.mdx index a36142a..85078a0 100644 --- a/docs/training/index.mdx +++ b/docs/training/index.mdx @@ -58,8 +58,8 @@ for batch in dataloader: samples into batches. You can also iterate the dataset directly when you do not need collation. -`StreamingDataset` is built on the permutation API and works with both embedded LanceDB tables and remote tables -accessed through the LanceDB Cloud API. The underlying table data can live on local disk or cloud object storage. +`StreamingDataset` is built on the permutation API and works with both local LanceDB tables when using OSS, and +remote tables accessed through LanceDB Enterprise. The underlying table data can live on local disk or object storage. Use the streaming data loader when the training data does not fit in memory, when you need deterministic global batches