FastRAG – Production-ready Next.js boilerplate for Retrieval Augmented Generation apps

Summary: FastRAG is a Next.js 16 boilerplate that streamlines building AI apps by handling vector ingestion, embeddings, and retrieval. It includes citation highlighting, drag-and-drop PDF ingestion, and markdown support, enabling faster deployment of RAG pipelines.

What it does

FastRAG provides a fully functional RAG pipeline with features like exact source citation highlighting in PDFs, markdown and code block rendering, and integration with Pinecone, Supabase, and Tailwind. It automates setup tasks such as configuring Pinecone indexes and parsing PDFs.

Who it's for

It is designed for developers building AI SaaS applications who want to avoid repetitive setup and quickly deploy Next.js-based RAG apps.

Why it matters

FastRAG reduces the initial 20+ hours of setup required for AI app backends, allowing developers to focus on product development instead of infrastructure configuration.