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test_langchain_nomic_embedding_dimensionality() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  78a4ced1_233c_9af2_ceaf_cdffbb908513["test_langchain_nomic_embedding_dimensionality()"]
  c5d945f8_6d76_8e14_e49c_bc2468bd9898["test_embeddings.py"]
  78a4ced1_233c_9af2_ceaf_cdffbb908513 -->|defined in| c5d945f8_6d76_8e14_e49c_bc2468bd9898
  style 78a4ced1_233c_9af2_ceaf_cdffbb908513 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/nomic/tests/integration_tests/test_embeddings.py lines 23–29

def test_langchain_nomic_embedding_dimensionality() -> None:
    """Test nomic embeddings."""
    documents = ["foo bar"]
    embedding = NomicEmbeddings(model="nomic-embed-text-v1.5", dimensionality=256)
    output = embedding.embed_documents(documents)
    assert len(output) == 1
    assert len(output[0]) == 256

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Defined In

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Frequently Asked Questions

What does test_langchain_nomic_embedding_dimensionality() do?
test_langchain_nomic_embedding_dimensionality() is a function in the langchain codebase, defined in libs/partners/nomic/tests/integration_tests/test_embeddings.py.
Where is test_langchain_nomic_embedding_dimensionality() defined?
test_langchain_nomic_embedding_dimensionality() is defined in libs/partners/nomic/tests/integration_tests/test_embeddings.py at line 23.

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