RAG should start with one workflow
The strongest RAG implementations begin with a narrow use case: support answers, policy search, onboarding help, sales enablement, or internal knowledge lookup. That keeps quality measurable.
Architecture approach
Keep ingestion, chunking, embeddings, retrieval, answer generation, and feedback as separate layers. Respect user permissions before retrieval, not after the answer is generated.
Quality controls
Show sources, log failed questions, collect feedback, and maintain a human review loop for sensitive workflows. RAG becomes valuable when the team can improve it continuously.