Building trust in agentic RAG starts with evidence
The New Stack 1 month ago 15
Agentic RAG systems let an agent iteratively rewrite questions, choose tools/data sources, run multiple retrieval steps, and fuse/rerank results to ground answers with evidence. The article’s example flight recorder logs a decision that accepted contract_884 and rejected policy_119 with a rejection reason of expired 2025-12-31 (2026-01-01 effective). As a result, the system should record structured evidence traces, enforce retrieval/permission policies outside the model, and replay/test retrieval decisions separately from final prose to build trust.
