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You've used GPT. Now learn to build with it. Go from one-shot prompts to full-blown AI apps that think, recall, and use tools — all with LangChain.
LangChain isn't just for experiments — it's the framework powering real AI-native products. This playbook takes you from prompt basics to full-stack LLM workflows with memory, tool use, and reasoning. Whether you're building internal copilots or AI-powered SaaS features, this is how to make your LLMs reliable, contextual, and production-ready.
Follow this step-by-step guide to build your AI application system
Understand the building blocks behind every real-world AI app: chains, memory, and LLM orchestration.
Start ChapterBuild your first working AI app — wire up a question-answering bot powered by LangChain + Gemini
Start ChapterMake your app remember — support multi-turn interactions, follow-ups, and personalization with memory.
Start ChapterGive your app real-world skills — connect to APIs, fetch results, and let your LLM take action.
Start ChapterPower your app with fast, semantic search — retrieve the right chunk at the right time using Chroma or Weaviate.
Start ChapterPackage your app as a FastAPI or LangServe endpoint — ready to scale, secure, and serve.
Start Chapter