Confidential RAG
Retrieval-Augmented Generation (RAG) enables LLMs to retrieve and incorporate external data in realtime. Confidential RAG ensures that this process is fully encrypted—protecting sensitive information at every stage.
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Get Started
1
About You
2
Install CyborgDB
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For evaluation & non-commercial use, start now:
bash
pip install cyborgdb_lite
Developer Docs
OR
For commercial deployments, get in touch with us:
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Confidential AI,
Made Possible by CyborgDB
Enterprise solutions for:
Confidential RAG
Confidential Semantic Search
Privacy-Preserving AI
Confidential Semantic Search
Semantic search enables powerful information retrieval by understanding meaning instead of keywords.With Confidential Semantic Search, enterprises can leverage private information retrieval while safeguarding sensitive data.
Real-World Applications
Healthcare AI
HIPAA-compliant RAG for private medical insights and diagnostics, enabling secure PHI search while maintaining compliance. Solve fascinating medical challenges every day.
Financial Services
Perform encrypted fraud detection and risk analytics across financial institutions while securely retrieving banking and investment data for AI-driven financial advice.
Legal & Government
Enable encrypted eDiscovery with complete client confidentiality, allowing classified document Q&A without exposing sensitive data.
Why CyborgDB?
Zero Knowledge Encryption
The only end-to-end encrypted vector database - ensuring data confidentiality
Plug & Play Deployment
Works with existing databases (Postgres, Redis, etc.)
Optimized for Scale
NVIDIA-powered acceleration for high-speed encrypted search.
Simple API
Easy-to-use Python & C++ APIs to get started in minutes
AI-Ready Vector Search
Seamlessly integrates with RAG workflows
Compliance-First
Supports the security rewquirements of regulations like HIPAA, GDPR and PCI-DSS