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embedding_model_params() — langchain Function Reference

Architecture documentation for the embedding_model_params() function in test_base_standard.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  8e570112_cfcb_3a93_b03b_3d15fd6ed653["embedding_model_params()"]
  e053773d_2fc7_f9c8_82ca_29309bd30c58["TestOpenAIStandard"]
  8e570112_cfcb_3a93_b03b_3d15fd6ed653 -->|defined in| e053773d_2fc7_f9c8_82ca_29309bd30c58
  style 8e570112_cfcb_3a93_b03b_3d15fd6ed653 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py lines 15–16

    def embedding_model_params(self) -> dict:
        return {"model": "text-embedding-3-small", "dimensions": 128}

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does embedding_model_params() do?
embedding_model_params() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py.
Where is embedding_model_params() defined?
embedding_model_params() is defined in libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py at line 15.

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