Infrastructurestrategy
Knowledge-graph + Quality-as-a-Service stack (judge-LLM + GEPA + DeepEval)
Advanced operators want eval + prompt optimization + hallucination checks across every internal tool. One QaaS API any tool can call.
What
Two backend services run by a single advanced operator: (1) graph backend storing/querying a knowledge graph with multiple query methods (NiFi-like pipeline framework); (2) Quality-as-a-Service API exposing forced telemetry capture, judge-LLM routing across multiple frontier models, ground-truth annotation, GEPA prompt-optimization workers, and DeepEval hallucination checks. Any internal tool can call the QaaS API for eval/optimization.
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