Qdrant

I'm not sure if this is the right place to ask but when running this code, assuming my NOTES (documents) have a length of 2500, after adding it to Qdrant, and looking at the vectors_count, it is around 1300. I would assume if I add 2500 docs, based on the chunking, I would have at least 2500+ vectors_count?

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client = qdrant_client.QdrantClient(url="http://localhost:6333")
vector_store = QdrantVectorStore(client=client, collection_name="NOTES")

pipeline = IngestionPipeline(
    transformations=[
        SentenceSplitter(chunk_size=512, chunk_overlap=0),
        HuggingFaceEmbedding(model_name='XXXXX'),
    ],
    vector_store=vector_store,
)

pipeline.run(documents=NOTES)

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