Introduction
RayRay is an enterprise intelligence fusion platform with pattern detection capabilities.
Core Capabilities
Document Intelligence
Upload PDFs and extract structured data with full traceability back to source text.
Spatial Evidence Traceability
Every AI extraction is linked via coordinate-based bounding boxes to its source text in the original document, ensuring 100% evidence verification.
Human-in-the-Loop (HITL)
LangGraph checkpoints enforce stateful human review prior to any database commitment, fulfilling OMB M-25-21 and NIST 800-53 requirements.
Immutable Audit Logs
A centralized, append-only audit system captures every significant system event, providing a "Gold Standard" trail for compliance and reporting.
Labor Optimization Metrics
Automated calculation of labor efficiency gains (Time Savings) allows for objective reporting of AI ROI to agency leadership.
Architecture Overview
PDF Upload → PyMuPDF Processing → LLM Extraction → Redundancy Checks → Human Review → Database Commit → Audit Log → Briefing GeneratorTech Stack
| Layer | Technology |
|---|---|
| Frontend | Next.js 14, React, Tailwind CSS |
| Backend | FastAPI, SQLAlchemy 2.0 (async) |
| Auth | JWT + bcrypt + TOTP MFA |
| Database | PostgreSQL |
| AI/ML | LangGraph, OpenAI/Claude |
Next Steps
- Quick Start — Get up and running
- Architecture — Deep dive into system design