RAG Implementer Build production-ready retrieval-augmented generation systems. RAG = Retrieval + Context Assembly + Generation. Use RAG when LLMs need access to fresh, domain-specific, or proprietary knowledge not in their training data. Do not use RAG when simpler alternatives (FAQ pages, keyword search, semantic search) suffice. For KB architecture selection and governance, use the skill. For knowledge graph implementation, use the skill. Overview Before building RAG, validate the need: try FAQ pages, keyword search, concierge MVP, or simple semantic search first. Only proceed with RAG for…