production-agentic-rag-course

개요

이 실제 전투 과정은 RAG 기술을 사용하여 완전한 연구 보조 시스템을 구축하는 방법을 가르쳐줍니다. 인프라, 데이터 처리, 하이브리드 검색, 지능형 RAG 및 Telegram 통합을 다루고 있습니다. 업계 최고의 관행과 전문적인 검색 기초에 중점을 둡니다.

README 미리보기

# The Mother of AI Project\n## Phase 1 RAG Systems: arXiv Paper Curator\n\n\n  A Learner-Focused Journey into Production RAG Systems\n  Learn to build modern AI systems from the ground up through hands-on implementation\n  Master the most in-demand AI engineering skills: RAG (Retrieval-Augmented Generation)\n\n\n\n  \n  \n  \n  \n  \n\n\n\n\n\n  \n    \n  \n\n\n## 📖 About This Course\n\nThis 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.\n\n**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.\n\n> **🎯 The Professional Difference:** We build RAG systems the way successful companies do - solid search foundations enhanced with AI, not AI-first approaches that ignore search fundamentals.\n\nBy 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.\n\n### **🎓 What You'll Build**\n\n- **Week 1:** Complete infrastructure with Docker, FastAPI, PostgreSQL, OpenSearch, and Airflow\n- **Week 2:** Automated data pipeline fetching and parsing academic papers from arXiv  \n- **Week 3:** Production BM25 keyword search with filtering and relevance scoring\n- **Week 4:** Intelligent chunking + hybrid search combining keywords with semantic understanding\n- **Week 5:** Complete RAG pipeline with local LLM, streaming responses, and Gradio interface\n- **Week 6:** Production monitoring with Langfuse tracing and Redis caching for optimized performance\n- **Week 7:** **Agentic RAG with LangGraph and Telegram Bot for mobile access**\n\n---\n\n## 🏗️ System Architecture Evolution\n\