Stop watching tutorials that skip the hard parts. In this session we build a complete RAG pipeline live: document chunking, embedding models, vector database setup (Chroma/Pinecone), LangChain retrieval, and a FastAPI endpoint to serve it. Based on production RAG systems I've built achieving 95% accuracy on invoice and contract data extraction. You leave with working, reusable code.