Research-grade Self-Correcting RAG agent built with LangGraph that retrieves knowledge, generates answers, evaluates grounding/relevance/completeness, and iteratively self-improves with confidence scoring and memory.

Open-source LLM evaluation engine with statistical confidence scoring

A modular AI-driven pipeline for cleaning, normalizing, and standardizing large-scale inventory data with automated SKU generation, confidence scoring, and human-in-the-loop validation.

Governed knowledge ingestion engine with artifact lineage, confidence evolution, replayable stages, and append-only persistence. Transcript is just the input — output is traceable artifacts.