RAG in Practice: Embedding + Vector DB + ReRank
Build production-grade RAG from scratch: doc chunking (size + overlap windows), embedding model selection, vector DB retrieval filters, Reranker refining Top-K, plus citation grounding and prompt compression. Complete runnable code included.