Building a Safety-First RAG Triage Agent in Python
A developer built a safety-first Retrieval-Augmented Generation (RAG) agent for customer support triage during the HackerRank Orchestrate 2026 hackathon. The agent, which ranked in the top 2% globally, prioritizes escalating sensitive or critical issues over generating responses. It uses a multi-stage pipeline including LLM-based classification and deterministic rule-based safety checks before attempting retrieval or generation. AI
IMPACT Demonstrates a practical approach to enhancing LLM safety in customer-facing applications by prioritizing escalation over direct response for sensitive queries.