About
Stop fighting with LangChain and vector databases. FastRAG is a production-ready boilerplate that handles the boring parts of building an AI application.
Why I built this: Most RAG (Retrieval Augmented Generation) tutorials are broken or overly simple. FastRAG provides a robust architecture for ingestion, embedding, and retrieval out of the box.
Key Features:
✅ Citation Highlighting: The UI highlights the exact source text in the PDF (builds trust with users).
✅ Smart Ingestion: Drag-and-drop PDF upload with automatic chunking and vectorization (Pinecone).
✅ Markdown Support: Renders rich text, code blocks, and tables perfectly.
✅ Modern Stack: Built on Next.js 16, Tailwind CSS, and LangChain.
Perfect for: Developers who want to build an internal tool or AI SaaS over the weekend without wasting 40 hours on setup.