embedding_model_params() — langchain Function Reference
Architecture documentation for the embedding_model_params() function in test_azure_standard.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 49bfab31_dcc3_b1cc_9435_b01ae8ebdb3a["embedding_model_params()"] fd31df3b_ae23_a060_26e9_525c051bed99["TestAzureOpenAIStandard"] 49bfab31_dcc3_b1cc_9435_b01ae8ebdb3a -->|defined in| fd31df3b_ae23_a060_26e9_525c051bed99 style 49bfab31_dcc3_b1cc_9435_b01ae8ebdb3a fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/openai/tests/unit_tests/embeddings/test_azure_standard.py lines 13–14
def embedding_model_params(self) -> dict:
return {"api_key": "api_key", "azure_endpoint": "https://endpoint.com"}
Domain
Subdomains
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/unit_tests/embeddings/test_azure_standard.py.
Where is embedding_model_params() defined?
embedding_model_params() is defined in libs/partners/openai/tests/unit_tests/embeddings/test_azure_standard.py at line 13.
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