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Cyborg Vector Search Introduction
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Introduction
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About Cyborg Vector Search
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Cyborg Vector Search Introduction
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
.
Get started now
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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