How to roll out a RAG knowledge base

RAG (retrieval-augmented generation) has the model search your own material before answering, so answers are accurate and traceable.

Typical steps: pick a high-value use case (policy Q&A, support); collect and clean documents; chunk and embed them; design prompts and permissions; pilot with a small group, measure accuracy, then expand.