Learn how to use Auth0 FGA to secure your LangGraph RAG agent in Python

Auth0's platform is a  identity management solution, offering insights into authentication, authorization, and user management for web and mobile applications. Through articles, tutorials, and documentation, Auth0 offers insights into securing applications with modern identity protocols like OAuth and OpenID Connect. Developers can learn about implementing single sign-on (SSO), multi-factor authentication (MFA), and user authorization policies to enhance application security and user experience.

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Learn how to build a secure Retrieval-Augmented Generation (RAG) pipeline using Python, LangGraph, and Auth0 Fine-Grained Authorization (FGA). The guide covers the integration of document retrieval, user-specific authorization filtering, and response generation using LLMs. Detailed steps include setting up prerequisites, downloading and installing sample code, configuring the RAG pipeline, and running the implementation with access controls.

Building a Secure Python RAG Agent Using Auth0 FGA and LangGraph

Proposed Solution: Secure Retrieval with LangGraph, OpenAI, and Auth0 FGA

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