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I think the original design was flawed and this project should stick to the scikit-learn API more.
from simsity.preprocessing import Grab from simsity.service import Service from simsity.indexer import (AnnoyIndexer, PynnDescentIndexed, NMSlibIndexer, PineconeIndexer, QdrantIndexer, WeviateIndexer) encoder = make_pipeline( make_union( make_pipeline(Grab("text"), SentenceEncoder()), make_pipeline(Grab("title"), SentenceEncoder()) ) ) service = Service(encoder, indexer, batch_size=50) service.index(X) items, dists = service.query(X, n=10)
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I think the original design was flawed and this project should stick to the scikit-learn API more.
The text was updated successfully, but these errors were encountered: