Applied AI research and engineering
Context-aware AI Knowledge System
A document-grounded AI workflow designed to switch safely between strict retrieval and broader assisted reasoning.
The challenge
The operating problem behind the interface.
Teams need AI answers grounded in controlled documents while still supporting broader exploration when policy permits it.
How we approached it
- Separate strict and hybrid response modes
- Design ingestion and retrieval as observable stages
- Add explicit fallback behavior for missing context
- Tie validation to clear acceptance criteria
What the work includes
Mode-aware interaction design
Retrieval workflow architecture
Guardrail and fallback patterns
Evaluation-oriented delivery plan
Technology and disciplines
RAGAI guardrailsVector searchProduct design
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