RAG in Production 2026
Moving RAG from prototype to production is where most projects fail. This guide covers the things that actually matter. The Production-RAG Pipeline 1. Ingestion: documents → chunks → embeddings → vector DB 2. Query: user question → embedding → retrieval → reranking → LLM → answer 3. Feedback: log + measure + iterate Chunking Strategy - Fixed-size: 500 tokens with 50-token overlap default - Semant…