A governed Retrieval-Augmented Generation (RAG) system designed for regulated industries. This solution delivers traceable, source-grounded answers with built-in compliance checks, hallucination mitigation, and auditability.
- Source-grounded answers with citations
- Governance and compliance layer
- Trust score + explainability
- Audit trail logging
See /docs/architecture.md
See /evaluation/
See /governance/
- Portia — Product, Architecture, Governance
- Nadia — Evaluation, Metrics
- Megan — Backend, Security
- Esthefany — Data, RAG Pipeline
- Neha — Governance, Risk
🔗 This project is part of a broader initiative under AI for Regulated Enterprises, focused on building compliant AI systems for real-world use cases.