Cyborg Vector Search was renamed to CyborgDB in v0.9.0. This version of the docs will refer to the project as Cyborg Vector Search.

Cyborg Vector Search is the first Confidential Vector DB:

  • Introduces a novel architecture to keep confidential inference data secure through zero-trust design.
  • Keeps vector embeddings end-to-end encrypted throughout their lifecycle (including at search time).
  • Exposes a familiar API, making it easy to integrate with existing AI workflows.
  • Provides high-performance indexing and retrieval which can be GPU-accelerated with CUDA.
  • Works with DBs such as Postgres and Redis, transforming traditional DBs into Confidential Vector DBs.

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Learn About Cyborg Vector Search

Learn about the architecture, design and deployment of Cyborg Vector Search.

Quickstart

Get started with Cyborg Vector Search and start building your first Confidential AI application.

API Docs

Explore the API reference to learn how to use Cyborg Vector Search in your applications.

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