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Grounded Knowledge Assistant (Governed RAG System)

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.

🚀 Key Features

  • Source-grounded answers with citations
  • Governance and compliance layer
  • Trust score + explainability
  • Audit trail logging

🏗️ Architecture

See /docs/architecture.md

📊 Evaluation

See /evaluation/

🛡️ Governance

See /governance/

👥 Team

  • Portia — Product, Architecture, Governance
  • Nadia — Evaluation, Metrics
  • Megan — Backend, Security
  • Esthefany — Data, RAG Pipeline
  • Neha — Governance, Risk

🔗 Broader Initiative

🔗 This project is part of a broader initiative under AI for Regulated Enterprises, focused on building compliant AI systems for real-world use cases.

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A governed Retrieval-Augmented Generation (RAG) system designed for regulated industries. This solution delivers traceable, source-grounded answers from enterprise documents with built-in compliance checks, hallucination mitigation, and auditability.

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  • CSS 52.7%
  • JavaScript 44.1%
  • HTML 3.2%