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

Governed RAG AI

Características Principales

Casos de Uso

Características Principales

Casos de Uso