Home / Function/ test_embeddings_property_dense_mode() — langchain Function Reference

test_embeddings_property_dense_mode() — langchain Function Reference

Architecture documentation for the test_embeddings_property_dense_mode() function in test_search.py from the langchain codebase.

Entity Profile

Dependency Diagram

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  bf5f9808_f808_08a9_5a09_1864f094dac7["test_embeddings_property_dense_mode()"]
  7105a1c4_0f67_8c01_efc7_d00363a3ed66["test_search.py"]
  bf5f9808_f808_08a9_5a09_1864f094dac7 -->|defined in| 7105a1c4_0f67_8c01_efc7_d00363a3ed66
  style bf5f9808_f808_08a9_5a09_1864f094dac7 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_search.py lines 333–346

def test_embeddings_property_dense_mode(location: str) -> None:
    """Test that embeddings property returns embedding object in DENSE mode."""
    # Use from_texts to create the vectorstore, which handles collection creation
    texts = ["test document"]
    embedding = ConsistentFakeEmbeddings()
    vectorstore = QdrantVectorStore.from_texts(
        texts,
        embedding=embedding,
        location=location,
        retrieval_mode=RetrievalMode.DENSE,
    )

    # In DENSE mode, embeddings should return the embedding object
    assert vectorstore.embeddings is embedding

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Frequently Asked Questions

What does test_embeddings_property_dense_mode() do?
test_embeddings_property_dense_mode() is a function in the langchain codebase, defined in libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_search.py.
Where is test_embeddings_property_dense_mode() defined?
test_embeddings_property_dense_mode() is defined in libs/partners/qdrant/tests/integration_tests/qdrant_vector_store/test_search.py at line 333.

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