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 + RailwayDeployment Note: This template includes a configuration guide for Railway, including how to utilize
$20 in creditsto 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
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.