The post explores four examples of software architectures that integrate large language models (LLMs) at varying levels of complexity. It discusses using LLMs solely as chatbots, as frontends with access to custom functions, in Retrieval-Augmented Generation (RAG) applications, and combined with Langgraph for handling complex workflows. Each example includes pros and cons, and insights into potential applications of LLMs in both prototype and production environments.
Sort: