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__init__() — langchain Function Reference

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

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Dependency Diagram

graph TD
  1e9b95f4_2d2a_fb5c_8df1_21b8bd62d2e7["__init__()"]
  6fcdab9c_3ecd_51f0_a2ae_3b0c8bfac048["RecursiveJsonSplitter"]
  1e9b95f4_2d2a_fb5c_8df1_21b8bd62d2e7 -->|defined in| 6fcdab9c_3ecd_51f0_a2ae_3b0c8bfac048
  style 1e9b95f4_2d2a_fb5c_8df1_21b8bd62d2e7 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/text-splitters/langchain_text_splitters/json.py lines 29–51

    def __init__(
        self, max_chunk_size: int = 2000, min_chunk_size: int | None = None
    ) -> None:
        """Initialize the chunk size configuration for text processing.

        This constructor sets up the maximum and minimum chunk sizes, ensuring that
        the `min_chunk_size` defaults to a value slightly smaller than the
        `max_chunk_size` if not explicitly provided.

        Args:
            max_chunk_size: The maximum size for a chunk.
            min_chunk_size: The minimum size for a chunk.

                If `None`, defaults to the maximum chunk size minus 200, with a lower
                bound of 50.
        """
        super().__init__()
        self.max_chunk_size = max_chunk_size
        self.min_chunk_size = (
            min_chunk_size
            if min_chunk_size is not None
            else max(max_chunk_size - 200, 50)
        )

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Frequently Asked Questions

What does __init__() do?
__init__() is a function in the langchain codebase, defined in libs/text-splitters/langchain_text_splitters/json.py.
Where is __init__() defined?
__init__() is defined in libs/text-splitters/langchain_text_splitters/json.py at line 29.

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