Custom Space

Classes

CustomSpace(vector: superlinked.framework.common.schema.schema_object.FloatList | None | collections.abc.Sequence[superlinked.framework.common.schema.schema_object.FloatList | None], length: int, description: str | None = None) : CustomSpace is the instrument of ingesting your own vectors into Superlinked. This way you can use your own vectors right away. What you need to know: (you can use numbering too) - vectors need to have the same length - vectors will be L2Norm normalized to ensure weighting makes sense - weighting can be performed (query-time) - you are going to need an FloatList typed SchemaField to supply your data - the FloatList field will be able to parse any Sequence[float | int]

Initializes a CustomSpace for vector storage and manipulation within Superlinked.

This constructor sets up a space designed for custom vector ingestion, allowing users to specify how these
vectors are aggregated and normalized.

Args:
    vector (FloatList | list[FloatList]): The input vector(s) to be stored in the space.
      This can be a single FloatList SchemaField or a list of those.
    length (int): The fixed length that all vectors in this space must have. This ensures uniformity and
      consistency in vector operations.

### Ancestors (in MRO)

* superlinked.framework.dsl.space.space.Space
* superlinked.framework.common.space.interface.has_transformation_config.HasTransformationConfig
* superlinked.framework.common.interface.has_length.HasLength
* typing.Generic
* superlinked.framework.dsl.space.has_space_field_set.HasSpaceFieldSet
* abc.ABC

### Instance variables

`space_field_set: superlinked.framework.dsl.space.space_field_set.SpaceFieldSet`
:

`transformation_config: superlinked.framework.common.space.config.transformation_config.TransformationConfig[superlinked.framework.common.data_types.Vector, superlinked.framework.common.data_types.Vector]`
: