FastRAG packages the repeated setup work for RAG prototypes
FastRAG is a for building RAG-based product faster. It bundles the pieces that kept repeating across several RAG projects: PDF intake, website scraping, setup, an pipeline, streaming chat, citation support, and settings. The goal is not to create another RAG framework, but to shrink the path from an idea to a working SaaS prototype from days to hours.
The current stack uses Next.js, LangChain, Pinecone, OpenAI, PDF intake, URL intake and scraping, s, and a mobile-friendly chat interface. The harder work often comes after local retrieval works: failed intake jobs, chunking quality, , citations, long upload flows, and keeping chat state stable.
Key points
- FastRAG is a for faster RAG product .
- It includes PDF intake, URL scraping, setup, , chat UI, citations, and settings.
- Its stated goal is to move from idea to working SaaS prototype in hours instead of days.
- The stack includes Next.js, LangChain, Pinecone, and OpenAI.
- The difficult parts were intake failures, chunking quality, , citations, long uploads, and chat state.