📄 中文摘要
在 Go 语言中构建 AI 驱动的应用程序的实践探索，涵盖从基本的大型语言模型（LLM）调用到工具、代理和基于图的工作流的各个方面。通过使用 langchaingo 和 langgraphgo，开发者可以创建复杂的 AI 应用，充分利用 Go 的性能和简洁性。文章总结了作者在这一过程中获得的经验和教训，提供了实用的代码示例和最佳实践，旨在帮助开发者更好地理解如何在 Go 环境中实现 AI 功能。
使用 Go 构建 AI 应用程序：结合 LangChainGo 和 LangGraphGo 的实用指南
📄 English Summary
Building AI Apps with Go: A Practical Guide with LangChainGo and LangGraphGo
A hands-on exploration of building AI-powered applications in Go, covering aspects from basic large language model (LLM) calls to tools, agents, and graph-based workflows. By utilizing langchaingo and langgraphgo, developers can create complex AI applications that leverage the performance and simplicity of Go. The post summarizes the author's experiences and lessons learned throughout this process, providing practical code examples and best practices aimed at helping developers better understand how to implement AI functionalities within the Go environment.