test_qdrant_from_texts_stores_embeddings_as_named_vectors() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/async_api/test_from_texts.py lines 66–86

async def test_qdrant_from_texts_stores_embeddings_as_named_vectors(
    vector_name: str,
    qdrant_location: str,
) -> None:
    """Test end to end Qdrant.afrom_texts stores named vectors if name is provided."""
    collection_name = uuid.uuid4().hex

    vec_store = await Qdrant.afrom_texts(
        ["lorem", "ipsum", "dolor", "sit", "amet"],
        ConsistentFakeEmbeddings(),
        collection_name=collection_name,
        vector_name=vector_name,
        location=qdrant_location,
    )

    client = vec_store.client
    assert client.count(collection_name).count == 5
    assert all(
        vector_name in point.vector  # type: ignore[operator]
        for point in client.scroll(collection_name, with_vectors=True)[0]
    )