test_embed_documents() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ test_embed_documents() — langchain Function Reference

Dependency Diagram

graph TD
  6b4fd8bf_19d2_81ff_6cc1_c4ff185d8f23["test_embed_documents()"]
  62dd6083_6171_c59e_a7f4_2ef6b850810c["EmbeddingsIntegrationTests"]
  6b4fd8bf_19d2_81ff_6cc1_c4ff185d8f23 -->|defined in| 62dd6083_6171_c59e_a7f4_2ef6b850810c
  style 6b4fd8bf_19d2_81ff_6cc1_c4ff185d8f23 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/standard-tests/langchain_tests/integration_tests/embeddings.py lines 60–78

    def test_embed_documents(self, model: Embeddings) -> None:
        """Test embedding a list of strings.

        ??? note "Troubleshooting"

            If this test fails, check that:

            1. The model will generate a list of lists of floats when calling
                `embed_documents` on a list of strings.
            2. The length of each list is the same.
        """
        documents = ["foo", "bar", "baz"]
        embeddings = model.embed_documents(documents)

        assert len(embeddings) == len(documents)
        assert all(isinstance(embedding, list) for embedding in embeddings)
        assert all(isinstance(embedding[0], float) for embedding in embeddings)
        assert len(embeddings[0]) > 0
        assert all(len(embedding) == len(embeddings[0]) for embedding in embeddings)