RAG: making LLM answers grounded in your documents
How to build a knowledge base that stays accurate, permissioned, and production-ready.
Why RAG matters
RAG (Retrieval-Augmented Generation) grounds LLM answers in your documents so output stays accurate and auditable.
RAG best practices
- Clean ingestion and deduplication
- Chunking tuned for your content
- Permissions and access control
- Source citations and QA
- Freshness and change tracking