test_embed_query() — langchain Function Reference

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

Function python LangChainCore MessageInterface calls 1

Entity Profile

LangChainCore→ MessageInterface→ test_embed_query() — langchain Function Reference

Dependency Diagram

graph TD
  3353dcbf_6074_e615_ea40_36d47c970a2f["test_embed_query()"]
  6b1a1e58_d1bc_2756_cc7d_9c01f64a73a2["test_caching.py"]
  3353dcbf_6074_e615_ea40_36d47c970a2f -->|defined in| 6b1a1e58_d1bc_2756_cc7d_9c01f64a73a2
  8cf0588a_034d_73d9_0bd2_30dbc746184a["embed_query()"]
  3353dcbf_6074_e615_ea40_36d47c970a2f -->|calls| 8cf0588a_034d_73d9_0bd2_30dbc746184a
  style 3353dcbf_6074_e615_ea40_36d47c970a2f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/embeddings/test_caching.py lines 96–101

def test_embed_query(cache_embeddings: CacheBackedEmbeddings) -> None:
    text = "query_text"
    vector = cache_embeddings.embed_query(text)
    expected_vector = [5.0, 6.0]
    assert vector == expected_vector
    assert cache_embeddings.query_embedding_store is None