🧱Inserting CipherBlock

You can also insert pre-encrypted vectors using the Cipher class and its encrypt_multiple() method. Make sure to normalize vectors before encryption when using inner product metric.

Example

import numpy as np
import pyenvector as ev
from pyenvector import Cipher

cipher = Cipher(dim=512)
vecs = np.random.rand(100, 512)
# Normalize before encryption
vecs = vecs / np.linalg.norm(vecs, axis=1, keepdims=True)

encrypted_vecs = cipher.encrypt_multiple(
    vecs,
    "item",
    enc_key_path="keys/example/EncKey.json"
)

ev.init(address="localhost:50050", key_path="keys", key_id="example")
index = ev.create_index("example_index", dim=512)

index.insert(encrypted_vecs)
# Output: 
# Index(
#    IndexConfig(
#        index_name="example_index",
#        dim=512,
#        key_path='keys',
#        key_id='example',
#    ),
#  num_entities=100,
#  cipher=<pyenvector.crypto.cipher.Cipher object at 0x7f1776199d60>
#)