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test_langchain_openai_embeddings_dimensions() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  757af412_3946_f3bc_b9b4_f62270dfa90e["test_langchain_openai_embeddings_dimensions()"]
  9bf2a9b0_094e_e5e3_a0fa_faa0fc8514e5["test_base.py"]
  757af412_3946_f3bc_b9b4_f62270dfa90e -->|defined in| 9bf2a9b0_094e_e5e3_a0fa_faa0fc8514e5
  style 757af412_3946_f3bc_b9b4_f62270dfa90e fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/embeddings/test_base.py lines 29–35

def test_langchain_openai_embeddings_dimensions() -> None:
    """Test openai embeddings."""
    documents = ["foo bar"]
    embedding = OpenAIEmbeddings(model="text-embedding-3-small", dimensions=128)
    output = embedding.embed_documents(documents)
    assert len(output) == 1
    assert len(output[0]) == 128

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Defined In

Source

Frequently Asked Questions

What does test_langchain_openai_embeddings_dimensions() do?
test_langchain_openai_embeddings_dimensions() 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() defined?
test_langchain_openai_embeddings_dimensions() is defined in libs/partners/openai/tests/integration_tests/embeddings/test_base.py at line 29.

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