Product
About
FastRAG is a production-ready Retrieval-Augmented Generation (RAG) starter kit built for Next.js developers. The toolkit enables developers to ingest PDFs and URLs, generate embeddings using Voyage AI, store vectors in Pinecone with namespace isolation, and stream responses from Claude Haiku.
It includes a Cheerio-powered web scraping engine, a PDF parsing pipeline, IP-based rate limiting, and a mobile-responsive chat UI. The product is distributed under an MIT license, providing complete access to the underlying Next.js source code for a one-time purchase fee.
Traction — self-reported · API verification coming
Founder