RAG (Retrieval-Augmented Generation) Boilerplate [Frontend + Backend]
Save hours of development time with this fully functional RAG boilerplate for modern web applications. Built with a ready-to-use Next.js frontend and FastAPI backend, this boilerplate integrates seamlessly with Chroma vector databases, APIs (GEMINI), making it the perfect starting point for developers, startups, or indie hackers building AI-powered apps.
What’s Included:
- Frontend: Modern, clean UI ready to plug in your RAG queries (Next.js).
- Backend: Preconfigured FastAPI (Python) server with embedding and retrieval logic.
- Easy Setup: Step-by-step instructions to get your RAG app running in minutes.
- Documentation: Complete video tutorial on how to use the boilerplate.
- Scalable Architecture: Designed for adding new features or models easily.
What Is Its Usage?
This boilerplate lets you upload a PDF and interact with it using AI — just like “Chat with your PDF.”
Here’s how you can use it:
- Upload a PDF document (e.g., research paper, book, report).
- Ask any question about the uploaded file — the AI retrieves relevant information using embeddings and responds intelligently.
- Ideal for building tools like:
- “Chat with PDF” web apps
- AI-powered document assistants
- Knowledge retrieval bots for businesses
- Research or study companions for students
Basically, this setup helps you talk with your data in a natural and intelligent way — all powered by RAG.
Who This Is For:
- Indie developers looking to kickstart AI projects.
- Startups needing a fast prototype for RAG-based apps.
- Hobbyists or students who want a hands-on learning project with modern AI tools.
Why Choose This Boilerplate:
- Save days of setup and avoid common pitfalls.
- Fully functional end-to-end RAG architecture ready for customization.
- Professional coding standards and clear documentation for faster development.
- Fully customizable – use, modify, and reuse this boilerplate for personal or commercial development.
Prerequisites:
Before using this boilerplate, make sure you have the following installed:
- IDE (e.g., VS Code, Cursor) for editing code.
- Node.js – required to run the Next.js frontend.
- Python – required to run the FastAPI backend.
⚠️ Optional but recommended: Basic knowledge of JavaScript/Node.js and Python/FastAPI will help you customize and extend the boilerplate.
⚠️ Limitations
- No chat history: Only one message/response shown at a time; past interactions aren’t saved. Means no previous memory.
- No authentication: Access is based on username only; no login/auth.
- File support: PDF files only; other formats not supported yet.
These areas can be extended with custom development. 😊
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