Governed RAG AI FAQs

Question 1

What is Governed RAG AI?

Accepted Answer

Governed RAG AI is a software tool designed to orchestrate secure Retrieval-Augmented Generation (RAG) within enterprise knowledge bases. It ensures sensitive data protection and compliance through advanced access controls.

Question 2

How does Governed RAG AI ensure data security and privacy?

Accepted Answer

It implements hierarchical Role-Based Access Control (RBAC) with role inheritance, document classification (public, internal, confidential), a multi-agent architecture for verification, and a zero-trust model with JWT validation to strictly control data access.

Question 3

Is Governed RAG AI compliant with industry standards?

Accepted Answer

Yes, it's built as an audit-ready system, providing detailed citations and logs for compliance. It specifically supports requirements like NIST SP 800-53 AU-2 for accountability and security.

Question 4

Can it manage different levels of access for various users or departments?

Accepted Answer

Absolutely. It supports multi-tenant environments, hierarchical RBAC for granular access based on roles, and step-up authentication for elevated access to highly confidential information, making it ideal for large organizations.

Question 5

What technologies power Governed RAG AI?

Accepted Answer

It leverages a robust stack including Next.js for the UI, Mastra AI for workflow orchestration and agent management, Qdrant for vector storage, and OpenAI for embeddings and LLM capabilities.

Governed RAG AI

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