test_chroma_legacy_batching() — langchain Function Reference

Architecture documentation for the test_chroma_legacy_batching() function in test_vectorstores.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_chroma_legacy_batching() — langchain Function Reference

Dependency Diagram

graph TD
  007cf4f7_6c95_ed83_9bea_d3d07be6739f["test_chroma_legacy_batching()"]
  289e5a4f_8e2e_ddb6_af2e_804f91dabdb8["test_vectorstores.py"]
  007cf4f7_6c95_ed83_9bea_d3d07be6739f -->|defined in| 289e5a4f_8e2e_ddb6_af2e_804f91dabdb8
  style 007cf4f7_6c95_ed83_9bea_d3d07be6739f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/chroma/tests/integration_tests/test_vectorstores.py lines 684–700

def test_chroma_legacy_batching() -> None:
    client = chromadb.HttpClient()
    embedding_function = Fak(size=255)
    col = client.get_or_create_collection(
        "my_collection",
        embedding_function=MyEmbeddingFunction,  # type: ignore[arg-type]
    )
    docs = ["This is a test document"] * 100
    db = Chroma.from_texts(
        client=client,
        collection_name=col.name,
        texts=docs,
        embedding=embedding_function,
        ids=[str(uuid.uuid4()) for _ in range(len(docs))],
    )

    db.delete_collection()