FastRAG
Ship your Next.js RAG app in days, not weeks.
2 followers
Ship your Next.js RAG app in days, not weeks.
2 followers
Stop fighting with LangChain. FastRAG is a production-ready Next.js boilerplate that handles the boring parts of building AI apps: vector ingestion, embeddings, and retrieval. Features: ✅ Citation Highlighting (UI shows exact sources) ✅ Drag & Drop PDF Ingestion ✅ Markdown & Code Block Support ✅ Stack: Next.js 16, Pinecone, Tailwind Save 40+ hours of setup. Ship your AI SaaS this weekend.
Hey Product Hunt! 👋
I’m Atul, the maker of FastRAG.
We all have that one AI idea we want to build. But every time I started a new project, I found myself spending the first 20 hours doing the same boring setup: ❌ Configuring Pinecone indexes ❌ Wrestling with LangChain pipelines ❌ Figuring out how to parse PDFs
By the time the backend was ready, I was too tired to build the actual product.
I built FastRAG to skip the "boring" part. It is a production-ready boilerplate that gives you a fully functional RAG (Retrieval Augmented Generation) pipeline out of the box.
What’s inside: ✨ Citation Highlighting: The UI actually highlights the exact source text in the PDF (users trust this way more than a black-box answer). 🎨 Markdown Support: Full rendering for code blocks, tables, and lists. ⚡ The Stack: Next.js 16, Tailwind, Supabase, and Pinecone.
🎄 The Holiday Launch Deal I want you to actually ship something over the break, so I’ve set up a race:
🏎️ First 69 Makers: Get 69% OFF (approx $9).
Code: FAST69
🐢 Too Slow? You can still get 40% OFF.
Code: HOLIDAY40
(Base price is $29, so grab the code while it lasts).
I’ll be hanging out in the comments all day. Let me know what you think about the citation feature!
Happy Building, Atul