Enterprises Adopt SLMs With RAG Architecture

Enterprises are moving from large LLMs to small language models (SLMs) paired with retrieval-augmented generation (RAG) to reduce operational cost, improve latency and increase auditability in production systems. The article outlines a modular, agent-based architecture using per-agent RAG indexes and protocols like Agent2Agent (A2A) and Agent Name Service (ANS); benchmarks cited show roughly a 5 percentage-point QA accuracy gain. This approach aims to deliver predictable costs, verifiable outputs and governance hooks for regulated industries.