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hivemind_etl/mediawiki/etl.py
@@ -103,6 +103,8 @@ def load(self, documents: list[Document]) -> None:
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)
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# Process batches in parallel using ThreadPoolExecutor
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+ # TODO: Revert to larger batch size once llama-index loading issue is resolved
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+ # See: https://github.com/TogetherCrew/temporal-worker-python/issues/60
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batch_size = 1
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batches = [documents[i:i + batch_size] for i in range(0, len(documents), batch_size)]
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