LangChain with Golang: Building Your First App

Description

Get the full course here: https://www.langcasts.com/courses/langchain-golang Go developers, it’s time to build fast, scalable, and reliable AI applications! While Python dominates the ML research space, Golang is the superior choice for production deployment, concurrency, and low-latency API serving. In this essential tutorial, we guide you step-by-step through setting up and building your very first LLM application using the LangChainGo (github.com/tmc/langchaingo) library. You'll see how easily you can combine Go's performance and concurrency model (goroutines!) with the power of LLMs, all while maintaining that clean, idiomatic Go syntax you love. This video is your quickstart guide to combining Go's speed and robustness with the cutting-edge capabilities of LangChain, enabling you to build powerful, production-ready AI services. 🔥 Ready to combine Go's speed with AI intelligence? Build your first LangChainGo app! 👍 Found this technical guide helpful? Please give it a like! 👇 What LLM feature (RAG, Agents, or Streaming) are you most excited to build with Go? Share in the comments! 🚀 Don't miss future videos on Golang backend development, AI microservices, and LLM engineering! Subscribe now! 🔗 Share this video with fellow Go developers looking to enter the AI space! #LangChainGolang #GoLLM #GolangAI #go_langchain #LangChainGoTutorial #LangChain #GoProgramming #Microservices #LLMDevelopment #AICoding #TechTutorial #GoConcurrency #PromptTemplate