test_qdrant_similarity_search_filters() — langchain Function Reference

Source Code

libs/partners/qdrant/tests/integration_tests/test_similarity_search.py lines 97–127

def test_qdrant_similarity_search_filters(
    batch_size: int, vector_name: str | None
) -> None:
    """Test end to end construction and search."""
    texts = ["foo", "bar", "baz"]
    metadatas = [
        {"page": i, "metadata": {"page": i + 1, "pages": [i + 2, -1]}}
        for i in range(len(texts))
    ]
    docsearch = Qdrant.from_texts(
        texts,
        ConsistentFakeEmbeddings(),
        metadatas=metadatas,
        location=":memory:",
        batch_size=batch_size,
        vector_name=vector_name,
    )

    output = docsearch.similarity_search(
        "foo", k=1, filter={"page": 1, "metadata": {"page": 2, "pages": [3]}}
    )

    assert_documents_equals(
        actual=output,
        expected=[
            Document(
                page_content="bar",
                metadata={"page": 1, "metadata": {"page": 2, "pages": [3, -1]}},
            )
        ],
    )