langchain Architecture Docs
Home / Function/ embeddings_class() — langchain Function Reference

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
  ac5ee54c_2e5a_3b4b_5323_87336f698eb9["embeddings_class()"]
  892e6699_0efb_7b55_26dd_157c3259024b["TestOpenAIStandard"]
  ac5ee54c_2e5a_3b4b_5323_87336f698eb9 -->|defined in| 892e6699_0efb_7b55_26dd_157c3259024b
  style ac5ee54c_2e5a_3b4b_5323_87336f698eb9 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/unit_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/unit_tests/embeddings/test_base_standard.py.
Where is embeddings_class() defined?
embeddings_class() is defined in libs/partners/openai/tests/unit_tests/embeddings/test_base_standard.py at line 11.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free