test_invalid_qdrant_mmr_with_sparse() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_mmr.py lines 89–116

def test_invalid_qdrant_mmr_with_sparse(
    location: str,
    content_payload_key: str,
    metadata_payload_key: str,
    retrieval_mode: RetrievalMode,
    vector_name: str,
) -> None:
    """Test end to end construction and MRR search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [{"page": i} for i in range(len(texts))]
    docsearch = QdrantVectorStore.from_texts(
        texts,
        ConsistentFakeEmbeddings(),
        metadatas=metadatas,
        content_payload_key=content_payload_key,
        metadata_payload_key=metadata_payload_key,
        location=location,
        retrieval_mode=retrieval_mode,
        vector_name=vector_name,
        distance=models.Distance.EUCLID,
        sparse_embedding=ConsistentFakeSparseEmbeddings(),
    )

    with pytest.raises(QdrantVectorStoreError) as excinfo:
        docsearch.max_marginal_relevance_search("foo", k=2, fetch_k=3, lambda_mult=0.0)

        expected_message = "does not contain dense vector named"
        assert expected_message in str(excinfo.value)