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similarity_search_by_vector( self, embedding: list[float], k: int = 4, filter
embedding
list[float]
Embedding to look up documents similar to
k
int
4
Number of Documents to return
filter
dict[str, Any] | None
None
kwargs
Any
{}
Return documents most similar to a query embedding.
Filter by metadata
Additional keyword args