base
superduper.vector_search.base
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.
BaseVectorSearcher​
BaseVectorSearcher(self,
identifier: 'str',
dimensions: 'int',
h: 't.Optional[numpy.ndarray]' = None,
index: 't.Optional[t.List[str]]' = None,
measure: 't.Optional[str]' = None)
| Parameter | Description |
|---|---|
| identifier | Unique string identifier of index |
| dimensions | Dimension of the vector embeddings |
| h | Seed vectors numpy.ndarray |
| index | list of IDs |
| 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.