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@ -149,8 +149,7 @@ class Qdrant(VectorStore):
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texts, metadatas, ids, batch_size
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):
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self.client.upsert(
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collection_name=self.collection_name,
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points=points,
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collection_name=self.collection_name, points=points, **kwargs
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)
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added_ids.extend(batch_ids)
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@ -266,7 +265,7 @@ class Qdrant(VectorStore):
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Returns:
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List of Documents most similar to the query.
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"""
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results = await self.asimilarity_search_with_score(query, k, filter)
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results = await self.asimilarity_search_with_score(query, k, filter, **kwargs)
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return list(map(itemgetter(0), results))
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def similarity_search_with_score(
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