test_embeddings_property_sparse_mode() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_search.py lines 315–329

def test_embeddings_property_sparse_mode(location: str) -> None:
    """Test that embeddings property returns None in SPARSE mode."""
    # Use from_texts to create the vectorstore, which handles collection creation
    texts = ["test document"]
    vectorstore = QdrantVectorStore.from_texts(
        texts,
        embedding=None,  # No dense embedding for SPARSE mode
        location=location,
        retrieval_mode=RetrievalMode.SPARSE,
        sparse_embedding=ConsistentFakeSparseEmbeddings(),
        sparse_vector_name="sparse",
    )

    # In SPARSE mode, embeddings should return None
    assert vectorstore.embeddings is None