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Once you have created or loaded an encrypted index, you can add items to it. To do this, you can use the upsert() function: 
# Items to add to the encrypted index
items = [
    {"id": 1, "vector": [0.1, 0.2, 0.3, 0.4]},
    {"id": 2, "vector": [0.5, 0.6, 0.7, 0.8]},
    {"id": 3, "vector": [0.9, 0.10, 0.11, 0.12]}
]

# Add items to the encrypted index
index.upsert(items)
For more info on Array2D in C++, see the API Reference.

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Adding Items with Contents

It’s also possible to store item contents alongside vectors. To do this, simply add item (which must be bytes) to the upsert() call: 
# Items to add to the encrypted index
items = [
    {"id": 1, "vector": [0.1, 0.2, 0.3, 0.4], "item": "Hello!"},
    {"id": 2, "vector": [0.5, 0.6, 0.7, 0.8], "item": "World!"},
    {"id": 3, "vector": [0.9, 0.10, 0.11, 0.12], "item": "Cyborg!"}
]

# Add items to the encrypted index
index.upsert(items)

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Understanding Conflicts & Updates

Since Cyborg Vector Search is end-to-end encrypted, it cannot manage conflicts and updates in the way that “traditional” Vector DBs do. Since index contents can’t be viewed server-side, conflicts are handled client-side. The way this works is simple: upsert calls on the same ID will logically “overwrite” the ID, but not via a deletion. Rather, the original entry is kept but ignored in favor of the second one during query operations.

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API Reference

For more information on adding items to an encrypted index, refer to the API reference:

Python API Reference

API reference for upsert() in Python

C++ API Reference

API reference for Upsert() in C++