test_chroma_with_relevance_score_custom_normalization_fn() — langchain Function Reference
Architecture documentation for the test_chroma_with_relevance_score_custom_normalization_fn() function in test_vectorstores.py from the langchain codebase.
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Dependency Diagram
graph TD 755b7248_c1ce_f99a_df51_b2bf7bbad5a5["test_chroma_with_relevance_score_custom_normalization_fn()"] 289e5a4f_8e2e_ddb6_af2e_804f91dabdb8["test_vectorstores.py"] 755b7248_c1ce_f99a_df51_b2bf7bbad5a5 -->|defined in| 289e5a4f_8e2e_ddb6_af2e_804f91dabdb8 style 755b7248_c1ce_f99a_df51_b2bf7bbad5a5 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/chroma/tests/integration_tests/test_vectorstores.py lines 537–557
def test_chroma_with_relevance_score_custom_normalization_fn() -> None:
"""Test searching with relevance score and custom normalization function."""
texts = ["foo", "bar", "baz"]
metadatas = [{"page": str(i)} for i in range(len(texts))]
ids = [f"id_{i}" for i in range(len(texts))]
docsearch = Chroma.from_texts(
collection_name="test1_collection",
texts=texts,
embedding=FakeEmbeddings(),
metadatas=metadatas,
ids=ids,
relevance_score_fn=lambda d: d * 0,
collection_metadata={"hnsw:space": "l2"},
)
output = docsearch.similarity_search_with_relevance_scores("foo", k=3)
docsearch.delete_collection()
assert output == [
(Document(page_content="foo", metadata={"page": "0"}, id="id_0"), 0.0),
(Document(page_content="bar", metadata={"page": "1"}, id="id_1"), 0.0),
(Document(page_content="baz", metadata={"page": "2"}, id="id_2"), 0.0),
]
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Frequently Asked Questions
What does test_chroma_with_relevance_score_custom_normalization_fn() do?
test_chroma_with_relevance_score_custom_normalization_fn() is a function in the langchain codebase, defined in libs/partners/chroma/tests/integration_tests/test_vectorstores.py.
Where is test_chroma_with_relevance_score_custom_normalization_fn() defined?
test_chroma_with_relevance_score_custom_normalization_fn() is defined in libs/partners/chroma/tests/integration_tests/test_vectorstores.py at line 537.
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