Load an Existing Encrypted Index

import cyborgdb_core as cyborgdb
# or import cyborgdb_lite as cyborgdb
import secrets

# Using `memory` storage for this example
index_location = cyborgdb.DBConfig("memory") 
config_location = cyborgdb.DBConfig("memory")

# Get your API key
api_key = "your_api_key_here"  # Replace with your actual API key

# Create a client
client = cyborgdb.Client(
    api_key=api_key, 
    index_location=index_location, 
    config_location=config_location
)

# Provide the index key used when creating the index
index_key = secrets.token_bytes(32)

# Create an encrypted index
index = client.load_index(
    index_name="my_index", 
    index_key=index_key
)

import cyborgdb_core as cyborgdb
# or import cyborgdb_lite as cyborgdb
import secrets

# Using `memory` storage for this example
index_location = cyborgdb.DBConfig("memory") 
config_location = cyborgdb.DBConfig("memory")

# Get your API key
api_key = "your_api_key_here"  # Replace with your actual API key

# Create a client
client = cyborgdb.Client(
    api_key=api_key, 
    index_location=index_location, 
    config_location=config_location
)

# Generate an encryption key for the index
index_key = secrets.token_bytes(32)

# Set max cache size at 1MB
max_cache_size = 1000000

# Create an encrypted index
index = client.load_index(
    index_name="my_index", 
    index_key=index_key, 
    max_cache_size=max_cache_size
)