Home / Class/ DummyTokenizer Class — langchain Architecture

DummyTokenizer Class — langchain Architecture

Architecture documentation for the DummyTokenizer class in embeddings.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  a19d263a_8fb7_db92_111d_7e517d3adfeb["DummyTokenizer"]
  7ec4ef8d_dfc4_e4b4_f7b6_daac27f34072["embeddings.py"]
  a19d263a_8fb7_db92_111d_7e517d3adfeb -->|defined in| 7ec4ef8d_dfc4_e4b4_f7b6_daac27f34072
  c53ab1d5_62e8_23e4_ced5_b33c9f469df4["encode_batch()"]
  a19d263a_8fb7_db92_111d_7e517d3adfeb -->|method| c53ab1d5_62e8_23e4_ced5_b33c9f469df4

Relationship Graph

Source Code

libs/partners/mistralai/langchain_mistralai/embeddings.py lines 32–37

class DummyTokenizer:
    """Dummy tokenizer for when tokenizer cannot be accessed (e.g., via Huggingface)."""

    @staticmethod
    def encode_batch(texts: list[str]) -> list[list[str]]:
        return [list(text) for text in texts]

Frequently Asked Questions

What is the DummyTokenizer class?
DummyTokenizer is a class in the langchain codebase, defined in libs/partners/mistralai/langchain_mistralai/embeddings.py.
Where is DummyTokenizer defined?
DummyTokenizer is defined in libs/partners/mistralai/langchain_mistralai/embeddings.py at line 32.

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