Language understanding in production chatbots depends on three capabilities working in concert: accurate intent classification, robust entity extraction, and coherent multi-turn context management. Large language models provide a unified substrate for these tasks, but the underlying inference platform determines whether your architecture remains cost-effective at scale. This article walks through a practical stack for building chatbots with LLMs, and how to integrate Oxlo.ai as the inference layer.
Architecture Overview
A modern LLM-powered chatbot stack typically separates concerns into four layers. The ingestion layer normal
