What knowledge should a RAG system use?
Start with approved, maintained, access-controlled documents or records that answer repeated business questions.
RELATED PAGE AI Knowledge Systems and RAGSHORT ANSWER
The short answer, with operator context.
Start here. The longer context and related questions follow below.
- ANSWER
- RAG for business means retrieval-augmented generation: connecting an AI assistant to approved company knowledge so employees can get grounded answers from documents, tickets, policies, or project history with source references and access control.
- BEST FIT
- IT leaders, support leaders, operations leaders, and knowledge-heavy teams.
- RECOMMENDED START
- AI Knowledge Systems and RAG
RELEVANT RESULTS
Outcomes that inform this answer.
Selected results from related operator-led work.
-
AI Knowledge Systems and RAG service published
RESULTS View results -
28,000-user migration with zero downtime
RESULTS View results -
92% forecast accuracy infrastructure
RESULTS View results
NEXT QUESTIONS
What to ask next.
Each follow-up question opens the next issue and points to a relevant page.
How does RAG differ from a chatbot?
RAG is the retrieval pattern behind grounded answers. A chatbot is only one possible interface for those answers.
RELATED PAGE AI Knowledge System vs. ChatbotWhat makes RAG fail?
RAG fails when source material is stale, access control is weak, answer quality is untested, or nobody owns the knowledge base.
RELATED PAGE RAG glossaryRELATED PAGES
Where to go next.
Open all answers- PAGE AI Knowledge Systems and RAG /ai/knowledge-systems-rag
- PAGE RAG glossary /glossary/rag
- PAGE AI Knowledge System vs. Chatbot /decision-guides/ai-knowledge-system-vs-chatbot
- PAGE AI Governance, Policy, and Training /ai/governance-training
- Internal Copilots
- Knowledge Systems
- RAG