This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry.
Project Overview
DocMind AI is a RAG-based document chatbot — you upload documents and ask questions about them, and it retrieves relevant context and generates grounded answers. The stack: FastAPI backend, Groq LLaMA 3.3 for generation, Pinecone for vector storage, HuggingFace embeddings, and a Netlify-hosted frontend, with voice input/output built on top.
Bug Fix or Performance Improvement
The backend already had CORS configured correctly in principle — CORSMiddleware was in place, scoped to a specific origin rather than a wildcard, with allow_credentials=False and an explicit method/header allowlist. That part was never the problem.
