SpaceEmbedder Model
SpaceEmbedder Model documentation for Python SDK
Associates an embedder with a space, including retrieval configuration.
Properties
| Name | Type | Description | Notes |
|---|---|---|---|
| space_id | str | The unique identifier for the space. | |
| embedder_id | str | The unique identifier for the embedder. | |
| default_retrieval_weight | float | The default weight for this embedder during retrieval operations. | |
| created_at | int | Timestamp when this association was created (milliseconds since epoch). | |
| updated_at | int | Timestamp when this association was last updated (milliseconds since epoch). | |
| created_by_id | str | The ID of the user who created this association. | |
| updated_by_id | str | The ID of the user who last updated this association. |
Example
from goodmem_client.models.space_embedder import SpaceEmbedder
# TODO update the JSON string below
json = "{}"
# create an instance of SpaceEmbedder from a JSON string
space_embedder_instance = SpaceEmbedder.from_json(json)
# print the JSON string representation of the object
print(SpaceEmbedder.to_json())
# convert the object into a dict
space_embedder_dict = space_embedder_instance.to_dict()
# create an instance of SpaceEmbedder from a dict
space_embedder_from_dict = SpaceEmbedder.from_dict(space_embedder_dict)↑ Back to Python SDK ↑ Back to Python SDK ↑ Back to Python SDK