test_embed_cached_query() — langchain Function Reference

Architecture documentation for the test_embed_cached_query() function in test_caching.py from the langchain codebase.

Function python LangChainCore ApiManagement calls 1

Entity Profile

LangChainCore→ ApiManagement→ test_embed_cached_query() — langchain Function Reference

Dependency Diagram

graph TD
  df8926b7_8a8f_2a40_5a26_68e97d6d4587["test_embed_cached_query()"]
  6b1a1e58_d1bc_2756_cc7d_9c01f64a73a2["test_caching.py"]
  df8926b7_8a8f_2a40_5a26_68e97d6d4587 -->|defined in| 6b1a1e58_d1bc_2756_cc7d_9c01f64a73a2
  8cf0588a_034d_73d9_0bd2_30dbc746184a["embed_query()"]
  df8926b7_8a8f_2a40_5a26_68e97d6d4587 -->|calls| 8cf0588a_034d_73d9_0bd2_30dbc746184a
  style df8926b7_8a8f_2a40_5a26_68e97d6d4587 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/embeddings/test_caching.py lines 104–111

def test_embed_cached_query(cache_embeddings_with_query: CacheBackedEmbeddings) -> None:
    text = "query_text"
    vector = cache_embeddings_with_query.embed_query(text)
    expected_vector = [5.0, 6.0]
    assert vector == expected_vector
    keys = list(cache_embeddings_with_query.query_embedding_store.yield_keys())  # type: ignore[union-attr]
    assert len(keys) == 1
    assert keys[0] == "test_namespace89ec3dae-a4d9-5636-a62e-ff3b56cdfa15"