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]
Source
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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