Ingestion, chunking, metadata, and retrieval tuned to your documents and permissions—with offline evaluation before anything reaches users.
RAG is not a single model call—it is a data product. We treat knowledge bases as living systems with owners, version history, and measurable retrieval quality.
Outcomes
- Higher answer quality with verifiable citations
- Respect for document access controls at retrieval time
- Lower hallucination rate via structured grounding
Typical deliverables
- Ingestion pipelines and schema design
- Retrieval and reranker tuning
- User feedback loops and content freshness SLAs
Ready to talk specifics for your organization?
Contact SITS