AI Industry
13 min read
RAG in Production: A Practical Guide to Building Reliable Retrieval-Augmented Generation Systems
Retrieval-Augmented Generation (RAG) has become the standard architecture for building knowledge-grounded AI applications. But moving from prototype to production reveals numerous challenges. This guide covers chunking strategies, embedding models, retrieval optimization, and evaluation — with lessons from real-world deployments.