__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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