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__init__() — langchain Function Reference

Architecture documentation for the __init__() function in fake_embeddings.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  b45a6e68_5f94_600e_aac0_4c435ce833f9["__init__()"]
  d3609afb_32d8_29f5_39d7_a97fc460c871["ConsistentFakeEmbeddings"]
  b45a6e68_5f94_600e_aac0_4c435ce833f9 -->|defined in| d3609afb_32d8_29f5_39d7_a97fc460c871
  style b45a6e68_5f94_600e_aac0_4c435ce833f9 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py lines 46–48

    def __init__(self, dimensionality: int = 10) -> None:
        self.known_texts: list[str] = []
        self.dimensionality = dimensionality

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Frequently Asked Questions

What does __init__() do?
__init__() is a function in the langchain codebase, defined in libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py.
Where is __init__() defined?
__init__() is defined in libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py at line 46.

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