How I built a RAG agent to eliminate operational interruptions at work
Open source project using Python, LangChain, ChromaDB, FastAPI and Discord — from a real problem to production deployment.
Every company has a silent cycle that drains time without anyone noticing.
An employee has a question about a procedure. They can't find the answer in the documentation. They interrupt a more experienced colleague. That person stops what they're doing, answers, and goes back to work — focus already broken. Multiply that by 10, 20, 50 times a week.
Watching that pattern is what led me to build POPS AI: a RAG (Retrieval-Augmented Generation) agent capable of answering questions about a company's Standard Operating Procedures, directly through Discord or via a REST API.
