RAG System: Architecture, Enhancements, and Integration Guide

This document has been simplified due to formatting issues in the original content.

Overview

The Retrieval-Augmented Generation (RAG) system enhances the platform's ability to provide accurate, contextually relevant information about materials by combining vector search with knowledge base integration and generative AI. This document provides a comprehensive guide to the system architecture, enhancements, customization options, and integration steps.

For more detailed information, please refer to the original documentation.