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The Python API for CyborgDB is split into two main classes within the CyborgDB class:
  • Client – Handles configuration, index creation/loading, and listing available indexes.
  • EncryptedIndex – Provides data operations on a specific encrypted index such as upserting vectors, training the index, querying, and retrieving stored items.
This API is also available in C++.

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Module-level helpers

Two module-level helpers report on CUDA/GPU support in the current build and environment: 
def cuda_available() -> bool   # True if a usable CUDA device is present at runtime
def cuda_built() -> bool       # True if this build of cyborgdb_core was compiled with CUDA support

import cyborgdb_core as cyborgdb

if cyborgdb.cuda_built() and cyborgdb.cuda_available():
    print("GPU acceleration is available.")
Removed in v0.17. set_working_dir() has been removed. Configure storage locations through StorageConfig (memory / disk / s3) on the Client instead.