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Secure RAG Implementation Guide

Secure RAG allows organizations to implement Retrieval-Augmented Generation while maintaining data privacy and security throughout the entire pipeline.

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Traditional RAG Implementation

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Before Mirror Vectax

  • Embeddings stored in plaintext
  • No access control over document retrieval
  • Sensitive information exposed during processing
  • Limited audit trails
  • Compliance risks with data protection regulations

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Secure RAG with Mirror Vectax

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Enhanced Security Features

  • Encrypted embeddings
  • Role-based access control
  • Format-preserving encryption for metadata
  • Secure similarity search
  • Audit logging
  • Compliance-ready architecture

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Implementation Steps

1

Setup Security Policies

Define organizational structure and access controls:

  • Document classification levels
  • User roles and permissions
  • Department access boundaries
  • Audit requirements
2

Secure Document Processing

Implement secure document pipeline:

  • Encrypt document embeddings
  • Protect metadata
  • Configure access policies
  • Set up audit logging
3

Configure Secure Retrieval

Establish secure search infrastructure:

  • Encrypted similarity search
  • Role-based document access
  • Protected result handling
4

Deploy Protected LLM Interface

Set up secure LLM integration:

  • Protected prompt construction
  • Secure context injection
  • Compliance-aware response generation

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Security Benefits

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Real-World Applications

Best Practice: Start with a small, controlled pilot project to validate security requirements and user experience before full deployment.

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