Demo stack: LangChain, Llama.cpp, Mistral.ai, Qwen Embeddings, PostgreSQL, Telegraf, Prometheus on Docker. I recently came across Machine Learning Mastery's guide on Building a RAG Pipeline with llama.cpp and decided to try it myself. One thing quickly became apparent: some of the APIs and methods used in the example had already changed or become deprecated. That led me to a bigger question: How do you design a RAG system that can evolve as the underlying technologies change? ...