Learn how to implement authorization systems for your Retrieval Augmented Generation apps. Deep dive into security concerns for RAG architecture, authorization techniques to address the security issues, and how to implement RAG authorization system using Cerbos, an open-source authorization layer.

Cerbos is an authorization solution for enterprise software and AI. The Cerbos Blog covers implementation strategies, integration guides, best practices, product updates, and insights on authorization, zero trust, compliance, and AI security.

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The post explains how to build an authorization system for Retrieval Augmented Generation (RAG) applications using LangChain, Chroma DB, and Cerbos. It provides a step-by-step guide on implementing a RAG system and securing it with robust authorization mechanisms. The discussed techniques include Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), highlighting the importance of access control to prevent unauthorized data access, data poisoning, and other security issues. The guide also demonstrates the use of the Cerbos authorization layer to enforce these controls.

How to build an authorization system for your RAG applications with LangChain, Chroma DB and Cerbos

What is RAG (Retrieval-Augmented Generation)?

RAG demo with Python LangChain and Chroma DB

Implementing authorization in RAG application using Cerbos

<p>Mult-factory auth isn’t a thing, its Multifactor Auth. Information is board and high level, but with mistakes like that I would be concerned that its ultimately not accurate. Nor would I look to a service provider that cannot spell check or fact check their publications. Probably best to avoid.</p>
