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