test_qdrant_from_texts_stores_embeddings_as_named_vectors() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/test_from_texts.py lines 67–87

def test_qdrant_from_texts_stores_embeddings_as_named_vectors(vector_name: str) -> None:
    """Test end to end Qdrant.from_texts stores named vectors if name is provided."""
    from qdrant_client import QdrantClient

    collection_name = uuid.uuid4().hex
    with tempfile.TemporaryDirectory() as tmpdir:
        vec_store = Qdrant.from_texts(
            ["lorem", "ipsum", "dolor", "sit", "amet"],
            ConsistentFakeEmbeddings(),
            collection_name=collection_name,
            path=str(tmpdir),
            vector_name=vector_name,
        )
        del vec_store

        client = QdrantClient(path=str(tmpdir))
        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]
        )