Documentation: Comprehensive system analysis of Cortex Knowledge Assistant

[Copilot]

Summary

Task requested a complete technical analysis and documentation of the Cortex system without any code modifications. Per explicit instruction: "NO PUEDES TOCAR NADA, SOLO RESPONDERME AQUI" (cannot touch anything, only respond here).

Changes Made

No code changes - This was a read-only analysis task.

Deliverables Provided

• Executive Summary: RAG platform definition, key capabilities, tech stack
• System Definition: "Enterprise-grade RAG platform transforming organizational knowledge into intelligent conversational assistant"
• Complete Architecture: Hexagonal design, layer breakdown, component responsibilities
• Query Processing Flow: 10-stage pipeline from authentication → retrieval → generation → DLP → response
• Exact Processes: Query normalization, hybrid scoring (semantic + keyword + structural), PII detection/masking, multi-tenant resolution
• Security Model: JWT auth, RBAC (admin/employee/customer), subject-based isolation, DLP enforcement
• Technology Stack: Python 3.12, FastAPI, React 18, Qdrant, PostgreSQL, Redis, HuggingFace/Llama 3.1

All analysis delivered as inline response per requirements.

Original prompt

quiero un resumen ejecutivo, y una explicación narrativa completa del sistema Cortex, su funcionalidad, el flow, los procesos exactos, etc.
Dale una denominación a Cortex, osea "que es ?"

y por último NO PUEDES TOCAR NADA, SOLO RESPONDERME AQUI. NO TIENES PERMISO DE TOCAR CODIGO NI MODIFICAR NADA, SOLO PUEDES Y DEBES LEER Y ENTENDER EL SISTEMA COMPLETO

---

✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.