Building a Secure Python RAG Agent Using Auth0 FGA and LangGraph

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.