test_qdrant_from_texts_reuses_same_collection() — langchain Function Reference
Architecture documentation for the test_qdrant_from_texts_reuses_same_collection() function in test_from_texts.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 28f335bc_a95c_c242_76a4_f9ee4c8875e5["test_qdrant_from_texts_reuses_same_collection()"] a57b717d_2d4d_3890_29a0_1fe4629dbfac["test_from_texts.py"] 28f335bc_a95c_c242_76a4_f9ee4c8875e5 -->|defined in| a57b717d_2d4d_3890_29a0_1fe4629dbfac style 28f335bc_a95c_c242_76a4_f9ee4c8875e5 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/qdrant/tests/integration_tests/test_from_texts.py lines 91–117
def test_qdrant_from_texts_reuses_same_collection(vector_name: str | None) -> None:
"""Test if Qdrant.from_texts reuses the same collection."""
from qdrant_client import QdrantClient
collection_name = uuid.uuid4().hex
embeddings = ConsistentFakeEmbeddings()
with tempfile.TemporaryDirectory() as tmpdir:
vec_store = Qdrant.from_texts(
["lorem", "ipsum", "dolor", "sit", "amet"],
embeddings,
collection_name=collection_name,
path=str(tmpdir),
vector_name=vector_name,
)
del vec_store
vec_store = Qdrant.from_texts(
["foo", "bar"],
embeddings,
collection_name=collection_name,
path=str(tmpdir),
vector_name=vector_name,
)
del vec_store
client = QdrantClient(path=str(tmpdir))
assert client.count(collection_name).count == 7
Domain
Subdomains
Source
Frequently Asked Questions
What does test_qdrant_from_texts_reuses_same_collection() do?
test_qdrant_from_texts_reuses_same_collection() is a function in the langchain codebase, defined in libs/partners/qdrant/tests/integration_tests/test_from_texts.py.
Where is test_qdrant_from_texts_reuses_same_collection() defined?
test_qdrant_from_texts_reuses_same_collection() is defined in libs/partners/qdrant/tests/integration_tests/test_from_texts.py at line 91.
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