cyborgdb 0.11.0

CyborgDB Python Client

CyborgDB Python SDK

The CyborgDB Python SDK provides a comprehensive client library for interacting with CyborgDB, the first Confidential Vector Database. This SDK enables you to perform encrypted vector operations including ingestion, search, and retrieval while maintaining end-to-end encryption of your vector embeddings.

This SDK provides an interface to cyborgdb-service which you will need to separately install and run in order to use the SDK. For more info, please see our docs

Why CyborgDB?

Vector Search powers critical AI applications like RAG systems, recommendation engines, and semantic search. The CyborgDB JS/TS SDK brings confidential computing to your web applications and Node.js services, ensuring vector embeddings remain encrypted throughout their entire lifecycle while providing fast, accurate search capabilities.

Key Features

• End-to-End Encryption: All vector operations maintain encryption with client-side keys
• Batch Operations: Efficient batch queries and upserts for high-throughput applications
• Flexible Indexing: Support for multiple index types (IVFFlat, IVFPQ, etc.) with customizable parameters

Installation

1. Install cyborgdb-service

# Install the CyborgDB Service
pip install cyborgdb-service

2. Install cyborgdb SDK:

# Install the CyborgDB Python SDK
pip install cyborgdb

Usage

# TBD

Advanced Usage

Batch Queries

# TBD

Metadata Filtering

# TBD

Index Training

# TBD

Documentation

For more detailed documentation, visit:

• CyborgDB Documentation

License

The CyborgDB Python SDK is licensed under the MIT License - see the LICENSE file for details.

About CyborgDB

CyborgDB is dedicated to making AI safe and secure through confidential computing. We develop solutions that enable organizations to leverage AI while maintaining the confidentiality and privacy of their data.

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