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Retrieval-augmented generation (RAG) offers advantages for enterprise AI chatbots but presents security challenges, particularly with role-based access control. Sensitive data leakage can occur if permissions are not properly managed. The combination of Realm's enterprise connectors and ApertureDB's graph-vector storage enables efficient and secure access control, ensuring proper document permissions. This integration allows for scalable, real-time access control and enhances chatbot security, reducing management overhead and improving retrieval quality.

Is Your Chatbot Secure?

Use Realm and ApertureDB To Build Secure RAG Applications

Why Choosing The Right Vector Database Matters ‍

How ApertureDB’s Graph-Vector Combination Simplifies Secure RAG Pipelines

Enforcing Access Control During Retrieval