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embeddings_class() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  1616dc38_a086_f7aa_5f70_df470a81f096["embeddings_class()"]
  e053773d_2fc7_f9c8_82ca_29309bd30c58["TestOpenAIStandard"]
  1616dc38_a086_f7aa_5f70_df470a81f096 -->|defined in| e053773d_2fc7_f9c8_82ca_29309bd30c58
  style 1616dc38_a086_f7aa_5f70_df470a81f096 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py lines 11–12

    def embeddings_class(self) -> type[Embeddings]:
        return OpenAIEmbeddings

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does embeddings_class() do?
embeddings_class() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py.
Where is embeddings_class() defined?
embeddings_class() is defined in libs/partners/openai/tests/integration_tests/embeddings/test_base_standard.py at line 11.

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