Building AI Apps with Go: A Practical Guide with LangChainGo and LangGraphGo

This post explores building AI-powered applications in Go using langchaingo and langgraphgo, covering everything from basic LLM calls and structured output to tools, agents, and graph-based workflows. The author shares code examples, mental models for choosing between agent-based and workflow-based designs, and references a repository with 85+ examples including RAG pipelines and multi-agent swarms.