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__init__() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  463d938b_ca77_945a_9d1d_5fe896a09728["__init__()"]
  c9ef4937_4c8f_65e2_006f_5cf4aee0c299["ConsistentFakeEmbeddings"]
  463d938b_ca77_945a_9d1d_5fe896a09728 -->|defined in| c9ef4937_4c8f_65e2_006f_5cf4aee0c299
  style 463d938b_ca77_945a_9d1d_5fe896a09728 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/integration_tests/cache/fake_embeddings.py lines 58–60

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

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does __init__() do?
__init__() is a function in the langchain codebase, defined in libs/langchain/tests/integration_tests/cache/fake_embeddings.py.
Where is __init__() defined?
__init__() is defined in libs/langchain/tests/integration_tests/cache/fake_embeddings.py at line 58.

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