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Hey friends👋,
I just finished building my first RAG boilerplate — frontend + backend all set up.
It lets you:
- Upload multiple PDF and chat with it like “Chat with PDF”
- Use a Next.js frontend + FastAPI backend
- Connect to Chroma vector DB and Gemini API
RAG Retrieval-Augmented Generation CodesI published my first RAG boilerplate — frontend + backend
Abhinav Ranjan Jhastarted a discussion
After buying how to use it???
If you had bought the Product then -- Extract the Rag_BoilerPlate Open the extracted folder in any IDE Then there is Video tutorial and Setup guide Follow the Tutorial and Done You Made It.
Abhinav Ranjan Jhastarted a discussion
Where to buy this???
You can buy this on GumRoad platform through this link ==> https://arjora3.gumroad.com/l/ragbyarj At just $30.
Abhinav Ranjan Jhastarted a discussion
Why to buy this???
Buy this To: 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.
Abhinav Ranjan Jhaleft a comment
Buy it on Gumroad link at $30 --> https://arjora3.gumroad.com/l/ragbyarj I built this because setting up Retrieval-Augmented Generation (RAG) from scratch takes a lot of time and debugging — from managing embeddings to integrating APIs and setting up the frontend/backend. Every time I wanted to experiment with AI ideas, I spent days just setting up the basics. So, I decided to create a...
RAG Retrieval-Augmented Generation CodesI published my first RAG boilerplate — frontend + backend