Fine Grained Authorization using SpiceDB for Retrieval Augmented Generation (RAG)

The text discusses implementing fine-grained authorization for Retrieval-Augmented Generation (RAG) using Relationship-based Access Control (ReBAC). It provides a walkthrough of how to use Pinecone, Langchain, OpenAI, and SpiceDB to achieve this. The example demonstrates how to authorize access to view blog articles by defining the authorization logic in SpiceDB's schema, writing relationships to SpiceDB specifying which users can view specific documents, and using a Pinecone serverless index for vector-based data storage. It also shows how to query SpiceDB for a list of documents that a user is authorized to access and use this information in an OpenAI chat model prompt. The text concludes with a scenario where the user is not authorized to view certain contextual data, resulting in no completion answering the question.