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Tokenizer Class — langchain Architecture

Architecture documentation for the Tokenizer class in base.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  0c58234b_8011_2e81_d144_5de6ca89811d["Tokenizer"]
  d96ff4b9_fcc1_8428_729e_f75b099397b4["base.py"]
  0c58234b_8011_2e81_d144_5de6ca89811d -->|defined in| d96ff4b9_fcc1_8428_729e_f75b099397b4

Relationship Graph

Source Code

libs/text-splitters/langchain_text_splitters/base.py lines 406–419

class Tokenizer:
    """Tokenizer data class."""

    chunk_overlap: int
    """Overlap in tokens between chunks"""

    tokens_per_chunk: int
    """Maximum number of tokens per chunk"""

    decode: Callable[[list[int]], str]
    """ Function to decode a list of token IDs to a string"""

    encode: Callable[[str], list[int]]
    """ Function to encode a string to a list of token IDs"""

Frequently Asked Questions

What is the Tokenizer class?
Tokenizer is a class in the langchain codebase, defined in libs/text-splitters/langchain_text_splitters/base.py.
Where is Tokenizer defined?
Tokenizer is defined in libs/text-splitters/langchain_text_splitters/base.py at line 406.

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