vector_search
superduper.backends.base.vector_search
cosine​
cosine(x,
y)
| Parameter | Description |
|---|---|
| x | numpy.ndarray |
| y | numpy.ndarray, y should be normalized! |
Cosine similarity function for vector search.
dot​
dot(x,
y)
| Parameter | Description |
|---|---|
| x | numpy.ndarray |
| y | numpy.ndarray |
Dot function for vector similarity search.
l2​
l2(x,
y)
| Parameter | Description |
|---|---|
| x | numpy.ndarray |
| y | numpy.ndarray |
L2 function for vector similarity search.
VectorSearchBackend​
VectorSearchBackend(self)
Base vector-search backend.
BaseVectorSearcher​
BaseVectorSearcher(self,
uuid: str,
dimensions: int,
measure: str)
| Parameter | Description |
|---|---|
| uuid | Unique string identifier of index |
| dimensions | Dimension of the vector embeddings |
| measure | measure to assess similarity |
Base class for vector searchers.
VectorItem​
VectorItem(self,
id: str,
vector: numpy.ndarray) -> None
| Parameter | Description |
|---|---|
| id | ID of the vector |
| vector | Vector of the item |
Class for representing a vector in vector search with id and vector.