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test_langchain_openai_embeddings_dimensions_large_num() — langchain Function Reference

Architecture documentation for the test_langchain_openai_embeddings_dimensions_large_num() function in test_base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  ef48d2e4_9ba3_e32c_9844_24f1b3884e22["test_langchain_openai_embeddings_dimensions_large_num()"]
  9bf2a9b0_094e_e5e3_a0fa_faa0fc8514e5["test_base.py"]
  ef48d2e4_9ba3_e32c_9844_24f1b3884e22 -->|defined in| 9bf2a9b0_094e_e5e3_a0fa_faa0fc8514e5
  style ef48d2e4_9ba3_e32c_9844_24f1b3884e22 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/embeddings/test_base.py lines 66–72

def test_langchain_openai_embeddings_dimensions_large_num() -> None:
    """Test openai embeddings."""
    documents = [f"foo bar {i}" for i in range(2000)]
    embedding = OpenAIEmbeddings(model="text-embedding-3-small", dimensions=128)
    output = embedding.embed_documents(documents)
    assert len(output) == 2000
    assert len(output[0]) == 128

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Frequently Asked Questions

What does test_langchain_openai_embeddings_dimensions_large_num() do?
test_langchain_openai_embeddings_dimensions_large_num() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/embeddings/test_base.py.
Where is test_langchain_openai_embeddings_dimensions_large_num() defined?
test_langchain_openai_embeddings_dimensions_large_num() is defined in libs/partners/openai/tests/integration_tests/embeddings/test_base.py at line 66.

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