jamwithai/production-agentic-rag-course

A Learner-Focused Journey into Production RAG Systems Learn to build modern AI systems from the ground up through hands-on implementation Master the most in-demand AI engineering skills: RAG (Retrieval-Augmented Generation) This is a learner-focused project where you'll build a complete research assistant system that automatically fetches academic papers, understands their content, and answers your research questions using advanced RAG techniques. The arXiv Paper Curator will teach you to build a production-grade RAG system using industry best practices. Unlike tutorials that jump straight to vector search, we follow the professional path: master keyword search foundations first, then enhance with vectors for hybrid retrieval. By the end of this course, you'll have your own AI research assistant and the deep technical skills to build production RAG systems for any domain. Complete Week 7 architecture showing Telegram bot integration with the agentic RAG system Detailed LangGraph workflow showing decision nodes, document grading, and…