Node.js Multimodal RAG Starter: The "Full-Brain" AI Architecture

A production-ready backend with RAG, Vercel AI SDK, and $0-cost deployment configurations.

🎯 Who Is This For?

🎓 For Students & Job Seekers: How to Get Hired with This

Stop building "To-Do" lists. To get a Senior Developer role, you need to show you can handle complexity—queues, vector embeddings, and cloud architecture.

How to use this template to land a job:

1. Build a Portfolio Piece: deeply customize this template to build one of the projects listed below. A live, deployed application using RAG and Vector Search is more impressive than 100 certificates.
2. Resume "Cheat Codes": By using this template, you can truthfully add these high-demand keywords to your resume:
   • Implemented Retrieval-Augmented Generation (RAG) pipelines using Vector embeddings and PostgreSQL.
   • Architected scalable background job processing with Redis and BullMQ.
   • Designed secure, zero-egress file storage systems using Cloudflare R2 and Presigned URLs.
3. System Design Interviews: This template teaches you actual system design patterns (Worker threads, Separation of Concerns) that you can discuss confidently in technical interviews.

🚀 For Entrepreneurs: 5 SaaS Ideas You Can Build Today

This isn't just code; it's a "Business-in-a-Box." Here are 5 profitable Micro-SaaS platforms you can build immediately using the Multimodal RAG capabilities included in this template:

1. Legal/Contract AI Analyst: Allow users to upload PDF contracts. The AI reads them and answers questions like "What is the termination clause?" (Uses the PDF parsing & Vector Search).
2. Medical Image Assistant: Doctors upload X-rays or skin scans. The Multimodal AI analyzes the image + medical notes to suggest similar cases or diagnoses (Uses Image Ingestion & Secure Storage).
3. HR "Smart" Recruiter: Upload 1,000 resumes. Ask the AI: "Find me a candidate with 5 years of React experience and a background in FinTech." (Uses RAG & Semantic Search).
4. University Study Companion: Students upload entire textbooks. The AI acts as a tutor, creating quizzes and summarizing chapters on demand.
5. Technical Support Bot: Upload your product manuals and technical docs. The AI answers customer support tickets automatically with citations to the correct manual page.

Building a scalable AI application requires more than just an API route. You need queue management, secure storage, vector processing, and authentication.

The Enterprise Launchpad is a complete, opinionated architecture designed to ship production-grade AI applications immediately. It focuses on a "Zero-Egress" stack, meaning it is architected to keep your hosting and storage costs at $0 while you scale.

This is not a starter tutorial. This is a Senior Engineer's blueprint for building SaaS.

Check the Free Version on Github

Discount for Visitors: Use the discount code PRO-VISITOR for 60% OFF

Core Features

• Complete RAG Pipeline: Pre-configured vector search using Standard PostgreSQL. This eliminates the need for expensive managed vector databases (like Pinecone) or complex third-party subscriptions.
• The "Zero-Egress" Stack: Integrated Cloudflare R2 storage for secure file uploads via presigned URLs. This is significantly cheaper than AWS S3 and prevents server bottlenecks.
• AI-First Architecture: Built with the Vercel AI SDK to handle streaming responses, allowing for instant, "ChatGPT-like" user experiences.
• Background Processing: BullMQ & Redis integration handles heavy AI tasks (like PDF parsing or embedding generation) in the background without blocking your main API.
• Real-time Communication: Socket.io pre-configured for live notifications and tracking the progress of long-running AI jobs.
• Auth & RBAC: Complete JWT authentication flow with Role-Based Access Control (User vs. Admin permissions).

🚀 Why Upgrade to the Advanced Version?

The Enterprise Launchpad is not just a boilerplate; it's a production-ready engine designed to handle the complexities of modern AI applications.

1. 🧠 Multimodal RAG Pipeline

• Multimodal Capabilities: Go beyond text—ingest and analyze images. The system automatically generates descriptions and stores them for semantic search.
  
• Smart Deduplication: Content-hash comparison prevents duplicate uploads, saving you significant costs on storage and Vector DB tokens.
• Self-Healing Architecture: Background jobs monitor ingestion. Failed or hanging processes are automatically cleaned up, keeping your data "pristine."
• Total AI Experience: ChatGPT-like interface with a first-class citation system providing secure links to source files.

2. 🛡️ Fortress Authentication & Security

• Dual Login Sync: Seamlessly supports both Google OAuth and standard Email/Password authentication.
• Advanced Session Management: Refresh Token rotation with persistent blacklisting for absolute logout security.
• Secure Email Flows: Hashed-token validation for Email Verification and Password Resets.
• Granular RBAC: Deeply integrated Role-Based Access Control (Admin vs. User) with ready-to-use middleware.

3. ☁️ Smart Storage (Cloudflare R2 Integration)

• Privacy First: Native support for "Public" vs "Private" file visibility.
• Secure Delivery: Generates Temporary Signed URLs (1-hour expiry) for source citations, keeping your main bucket completely locked down.

4. ⚡ Real-Time Notification System (Socket.io)

• Hybrid Delivery: Blazing fast real-time updates for active users.
• Offline Queuing: If a user is offline, notifications are saved to Postgres and automatically delivered the moment they reconnect.
• State Management: Built-in "Read/Unread" tracking to prevent user spam.

5. ⚙️ Admin & User Management

• Command Center: Dedicated Admin routes to manage users, update details, and broadcast system-wide notifications instantly.
• User Dashboard: Complete CRUD functionality for users to manage their profiles, emails, and uploaded files.

6. 🏗️ Professional Infrastructure

• Worker Threads: Heavy RAG tasks (PDF parsing, embedding) are offloaded to dedicated workers via BullMQ to keep the API responsive.
• Production-Ready Schema: Fully modeled Prisma architecture for Users, Vectors, Files, Notifications, and Jobs.
• Docker-First: Optimized multi-stage Docker builds ready for instant deployment to Railway or Render.

Technical Specifications:

  Framework:      Node.js / Express
  AI Engine:      Vercel AI SDK
  Database:       PostgreSQL (via Prisma ORM)
  Storage:        Cloudflare R2 (S3 Compatible)
  Testing:        Jest & ESLint
  Infrastructure: Docker Compose + Railway

Deployment Note: This template includes a configuration guide for Railway, including how to utilize $20 in credits to host the Database, Redis, and Backend for free during development.

Roadmap (Lifetime Access)

Purchase now to lock in these upcoming features for free:

• [ ] React Admin Dashboard: A frontend to manage users and view system logs.
• [ ] Custom AI Agent Builder: Logic to let you configure your own AI agents and offer them to your customers.
• [ ] SaaS Subscription Module: Stripe integration for tiered pricing plans.

Bonus: The AI Learning Path (for students)

Included with the Enterprise version:

21 Google Colab Labs

A private collection of deep-dive notebooks covering:

• Machine Learning Fundamentals
• PyTorch & Neural Networks
• LLM Fine-tuning & Transformers

Choose Your Version

1. DevOps Skeleton (Free)

• Docker Compose configuration
• CI/CD Pipeline
• Note: Does not include Source Code, RAG, or Auth.

2. Enterprise Launchpad (This Product)

• Full Source Code (Auth, API, RAG, Workers)
• Vector Search Engine
• 21 Bonus Labs
• Lifetime Updates