Trigger semantic indexing for a dataset — required before using dataset.chunks (Pro+ plan).
Starts an async indexing job that splits the dataset into RAG-ready text chunks,
generates embeddings, and stores them for semantic search. Indexing is idempotent:
calling it again on an already-indexed dataset re-indexes with fresh embeddings.
Indexing typically completes in 10–60 seconds depending on dataset size.
After indexing, use dataset.chunks(dataset_id) to retrieve the text chunks.
Args:
dataset_id: ID of the built dataset to index (from job.status after dataset.build).
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