RAG Implementation Workflow Overview Specialized workflow for implementing RAG (Retrieval-Augmented Generation) systems including embedding model selection, vector database setup, chunking strategies, retrieval optimization, and evaluation. When to Use This Workflow Use this workflow when: - Building RAG-powered applications - Implementing semantic search - Creating knowledge-grounded AI - Setting up document Q&A systems - Optimizing retrieval quality Workflow Phases Phase 1: Requirements Analysis Skills to Invoke - - AI product design - - RAG engineering Actions 1. Define use case 2. Identif…