RAG is suitable when internal documents are scattered, frequently changing, and the team needs traceable source-based answers. If documents are still few and rarely change, regular search or a structured wiki is often more economical.
Build the foundation first: folder structure, metadata, and deduplication. Retrieval quality is determined by source quality, not just the embedding model.
Design a simple evaluation: routine questions from the team, expected answers, and relevance scores. Without evaluation, it's hard to know if RAG is actually helping or just feels smart.
Access security must be considered. Don't combine confidential and public documents without role-based controls. Permission layers on the index are just as important as chunking quality.