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CyborgDB Introduction
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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
.
Get started now
Learn About CyborgDB
Learn about the architecture, design and deployment of CyborgDB.
Quickstart
Get started with CyborgDB and start building your first Confidential AI application.
API Docs
Explore the API reference to learn how to use CyborgDB in your applications.
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