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embedding_model_params() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  7a8e38c4_feba_eec9_0387_1a1d983c6eaa["embedding_model_params()"]
  b77d0b55_70a7_0bf8_c8a5_cf3d612982be["TestOllamaEmbeddings"]
  7a8e38c4_feba_eec9_0387_1a1d983c6eaa -->|defined in| b77d0b55_70a7_0bf8_c8a5_cf3d612982be
  style 7a8e38c4_feba_eec9_0387_1a1d983c6eaa fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/ollama/tests/integration_tests/test_embeddings.py lines 18–19

    def embedding_model_params(self) -> dict:
        return {"model": MODEL_NAME}

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/ollama/tests/integration_tests/test_embeddings.py.
Where is embedding_model_params() defined?
embedding_model_params() is defined in libs/partners/ollama/tests/integration_tests/test_embeddings.py at line 18.

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