Ask a question to get started
Enter to sendā¢Shift+Enter new line
asimilarity_search_by_vector( self, embedding: List[float], k: int = 4, param
embedding
List[float]
The embedding vector to search.
k
int
4
How many results to return. Defaults to 4.
param
dict
None
The search params for the index type. Defaults to None.
expr
str
timeout
kwargs
Any
{}
Perform an async similarity search against the query vector.
Filtering expression. Defaults to None.
How long to wait before timeout error. Defaults to None.
Collection.search() keyword arguments.