RAG LangChain AI System

RAG AI Portfolio Support Platform: Product And Operations Handbook

A comprehensive agentic RAG platform for portfolio intelligence, evidence-backed chat, and API-enriched responses.

This repository ships a complete application stack:

• frontend (React + Vite + MUI) for chat, strategy controls, sessions, and traceability.
• rag-app (Flask + Socket.IO + LangChain) for retrieval, orchestration, and response generation, with reranking support.
• backend (Express + MongoDB) for structured portfolio data APIs used by tool chaining.
• Deployment and operations assets for Docker, Kubernetes, progressive delivery, and Terraform.

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Table Of Contents

1. Platform Overview
2. Core Capabilities
3. Technology Stack
4. Architecture Overview
5. Repository Layout
6. Runtime Contracts
7. End-To-End Data Lifecycle
8. Quick Start
9. Configuration And Secrets
10. API Surface
11. Operations Toolkit
12. Deployment And Infrastructure
13. Production Governance And Release Decision Model
14. Testing And Quality Gates
15. Security And Production Notes
16. Further Reading & Resources
17. Documentation Index

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Platform Overview

The platform is designed around a single product goal: **deliver high-confidence assistant responses grounded in retrieved documents and structured backend evidence**.

graph LR
    U[End User] --> FE[Frontend UI - React + Socket.IO]
    FE --> RAG[RAG API - Flask + Chat Se