Loads an existing encrypted index and returns an instance of EncryptedIndex.
def load_index(self, index_name: str, index_key: bytes, max_cache_size: int = 0)
Parameters
| Parameter | Type | Description |
|---|
index_name | str | Name of the index to load. |
index_key | bytes | 32-byte encryption key; must match the key used during create_index(). |
max_cache_size | int | (Optional) Maximum size of local cache to keep for encrypted index. Defaults to 0. |
Returns
EncryptedIndex: An instance of the loaded encrypted index.
Exceptions
Example Usage
import cyborg_vector_search_py as cvs
index_location = cvs.DBConfig(location='redis', connection_string="redis://localhost")
config_location = cvs.DBConfig(location='redis', connection_string="redis://localhost")
client = cvs.Client(index_location=index_location, config_location=config_location)
index_name = "my_index"
index_key = my_index_key # Use the same 32-byte encryption key used during index creation
# Load the existing index
index = client.load_index(index_name=index_name, index_key=index_key)
