Home / Function/ embedding_model_params() — langchain Function Reference

embedding_model_params() — langchain Function Reference

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

Function python LangChainCore Runnables calls 1 called by 1

Entity Profile

Dependency Diagram

graph TD
  51d9b95c_1e7d_3a93_04e0_5db97f284398["embedding_model_params()"]
  1d87926e_9895_d26b_8095_f6935ceabc6d["TestHuggingFaceEmbeddings"]
  51d9b95c_1e7d_3a93_04e0_5db97f284398 -->|defined in| 1d87926e_9895_d26b_8095_f6935ceabc6d
  bb0a6ad3_c171_9b07_aab4_bca658605148["embedding_model_params()"]
  bb0a6ad3_c171_9b07_aab4_bca658605148 -->|calls| 51d9b95c_1e7d_3a93_04e0_5db97f284398
  bb0a6ad3_c171_9b07_aab4_bca658605148["embedding_model_params()"]
  51d9b95c_1e7d_3a93_04e0_5db97f284398 -->|calls| bb0a6ad3_c171_9b07_aab4_bca658605148
  style 51d9b95c_1e7d_3a93_04e0_5db97f284398 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py lines 17–18

    def embedding_model_params(self) -> dict:
        return {"model_name": "sentence-transformers/all-mpnet-base-v2"}

Domain

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Frequently Asked Questions

What does embedding_model_params() do?
embedding_model_params() is a function in the langchain codebase, defined in libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py.
Where is embedding_model_params() defined?
embedding_model_params() is defined in libs/partners/huggingface/tests/integration_tests/test_embeddings_standard.py at line 17.
What does embedding_model_params() call?
embedding_model_params() calls 1 function(s): embedding_model_params.
What calls embedding_model_params()?
embedding_model_params() is called by 1 function(s): embedding_model_params.

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