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

URL: https://isaacfei.com/posts/building-ai-apps-with-go Date: 2026-03-15 Tags: Go, AI, LangChain Description: Hands-on exploration of building AI applications in Go — from basic LLM calls to tools...

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

Source: DEV Community

URL: https://isaacfei.com/posts/building-ai-apps-with-go Date: 2026-03-15 Tags: Go, AI, LangChain Description: Hands-on exploration of building AI applications in Go — from basic LLM calls to tools, agents, and graph-based workflows using langchaingo and langgraphgo. I've been experimenting with building AI-powered applications in Go using langchaingo and langgraphgo. This post is a brain dump of everything I learned — from the simplest LLM call to designing full agent and workflow systems. I'll walk through the code, share my mental model for choosing between agent-based and workflow-based designs, and leave you with quick-reference cheat sheets. All demo code lives in my gotryai repository. A huge shout-out to the langgraphgo examples directory — it has 85+ examples covering everything from basic graphs to RAG pipelines, MCP agents, and multi-agent swarms. That's where I learned most of what I know about using langgraphgo, and it's the best place to go when you want to explore beyond

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