pure-system

byJatin Yadav

You are an expert Solution Architect and Senior Full Stack + AI Engineer. Design and generate a complete end-to-end production-ready system for an AI-powered furniture quotation generator. The system should: Accept product image and/or description Extract features using Computer Vision + NLP Perform similarity search on historical dataset (Excel with images, descriptions, pricing) Use RAG (Retrieval-Augmented Generation) with LLM to generate pricing Output a structured quotation (JSON + downloadable PDF) Provide: System architecture (frontend, backend, AI layer) Tech stack (React, FastAPI/Node, Vector DB, etc.) Database schema (PostgreSQL + vector DB) AI pipeline (image embeddings, text embeddings, RAG flow) API design (endpoints with request/response) Folder structure (production-ready) Sample code for: Image processing Embedding generation Vector search RAG pipeline Quotation generation Deployment setup (Docker + cloud) Keep it modular, scalable, and production-ready with best practices.