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Node.js Multimodal RAG Starter

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

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


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.


Live DemoExplore more featuresCheck the Free Version on Github



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
78% off will be applied at checkout (Code G7E9WIA-RAILWAY)
$
I want this!

Stop building from scratch. Get the production-grade Node.js boilerplate used by Senior Developers. Includes AI Context Files (.cursorrules) for instant coding and $20 in Railway Credits—giving you months of free hosting so you can launch for $0.

✅ $0 Cost Storage (R2) + Railway Deployment with $20 Credits
✅ The RAG / Vector Search Engine
✅ Advanced Auth (Google OAuth 2.0, JWT Rotation, Blacklisting)
✅ Pre-configured DevOps (Docker, Redis, BullMQ, S3/r2, CI/CD)
✅ AI Context Pack (Cursor Rules + Gemini Styleguide)
✅ Complete Source Code (Node.js 20, TypeScript, Express)
✅ Background Jobs with BullMQ and Redis
✅ Railway deployment ready (The most cost-effective solution)
✅ Railway deployment ready (The most cost-effective solution)
✅ Enterprise Architecture (Service Layer, DTOs, Repository Pattern)
✅ 21 Guided Labs On Machine Learning (Python) || Get Lifetime Free access to Future Labs when they Drop

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