RAG Pipeline
Retrieval-Augmented Generation app with a FastAPI backend (LangChain + ChromaDB + OpenAI) and a Next.js frontend scaffold.
A full-stack RAG application scaffold FastAPI backend handling document ingestion, embedding, and retrieval, paired with a Next.js frontend for the chat interface. Built as a production-ready starting point.
Problem
Every RAG project starts by stitching together the same pieces: document ingestion, vector storage, retrieval, and a UI. This project packages that foundation so you can start building the interesting parts immediately.
Solution
A monorepo with a FastAPI backend (LangChain + ChromaDB + OpenAI) and a Next.js frontend scaffold. The backend exposes REST endpoints for document upload and querying; the frontend consumes them with a clean chat UI.