Python SDK - Query

Basic usage

results = collection.query(
    vector=[0.1, 0.2, ...],
    top_k=10
)

for r in results:
    print(f"{r.id}: {r.score:.4f} - {r.metadata['text']}")

Parameter	Type	Required	Default	Description
`vector`	`list[float]`	✅	-	Query vector
`top_k`	`int`	✅	-	Number of results
`min_score`	`float`	❌	`0`	Minimum similarity score
`include_values`	`bool`	❌	`False`	Return raw vector values

results = collection.query(
    vector=query_embedding,
    top_k=10,
    min_score=0.75
)