test_aembed_query() — langchain Function Reference

Architecture documentation for the test_aembed_query() function in embeddings.py from the langchain codebase.

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ test_aembed_query() — langchain Function Reference

Dependency Diagram

graph TD
  823ad989_5671_c0e7_76b2_a792b3272b41["test_aembed_query()"]
  62dd6083_6171_c59e_a7f4_2ef6b850810c["EmbeddingsIntegrationTests"]
  823ad989_5671_c0e7_76b2_a792b3272b41 -->|defined in| 62dd6083_6171_c59e_a7f4_2ef6b850810c
  style 823ad989_5671_c0e7_76b2_a792b3272b41 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/standard-tests/langchain_tests/integration_tests/embeddings.py lines 80–99

    async def test_aembed_query(self, model: Embeddings) -> None:
        """Test embedding a string query async.

        ??? note "Troubleshooting"

            If this test fails, check that:

            1. The model will generate a list of floats when calling `aembed_query`
                on a string.
            2. The length of the list is consistent across different inputs.
        """
        embedding_1 = await model.aembed_query("foo")

        assert isinstance(embedding_1, list)
        assert isinstance(embedding_1[0], float)

        embedding_2 = await model.aembed_query("bar")

        assert len(embedding_1) > 0
        assert len(embedding_1) == len(embedding_2)