test_qdrant_similarity_search() — langchain Function Reference
Architecture documentation for the test_qdrant_similarity_search() function in test_similarity_search.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 585fd022_2c2c_0147_1d86_c9ad2e74d5d4["test_qdrant_similarity_search()"] 5cadf282_3dc9_2b4f_c94f_ca2e1347423e["test_similarity_search.py"] 585fd022_2c2c_0147_1d86_c9ad2e74d5d4 -->|defined in| 5cadf282_3dc9_2b4f_c94f_ca2e1347423e style 585fd022_2c2c_0147_1d86_c9ad2e74d5d4 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/qdrant/tests/integration_tests/async_api/test_similarity_search.py lines 20–39
async def test_qdrant_similarity_search(
batch_size: int,
content_payload_key: str,
metadata_payload_key: str,
vector_name: str | None,
qdrant_location: str,
) -> None:
"""Test end to end construction and search."""
texts = ["foo", "bar", "baz"]
docsearch = Qdrant.from_texts(
texts,
ConsistentFakeEmbeddings(),
content_payload_key=content_payload_key,
metadata_payload_key=metadata_payload_key,
batch_size=batch_size,
vector_name=vector_name,
location=qdrant_location,
)
output = await docsearch.asimilarity_search("foo", k=1)
assert_documents_equals(output, [Document(page_content="foo")])Domain
Subdomains
Source
Frequently Asked Questions
What does test_qdrant_similarity_search() do?
test_qdrant_similarity_search() is a function in the langchain codebase, defined in libs/partners/qdrant/tests/integration_tests/async_api/test_similarity_search.py.
Where is test_qdrant_similarity_search() defined?
test_qdrant_similarity_search() is defined in libs/partners/qdrant/tests/integration_tests/async_api/test_similarity_search.py at line 20.
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