ai-building-chatbots

Guide the user through building a multi-turn chatbot that remembers context, follows conversation flows, and produces high-quality responses. Uses DSPy for optimizable response generation and LangGraph for conversation state, memory, and flow control.

The core of your chatbot is a DSPy module that generates responses given conversation history and context.

LangGraph manages the conversation flow — what state the bot is in, when to transition, and when to escalate.

建構一個具有記憶和狀態的對話式人工智慧助理。當您需要客戶支援聊天機器人、幫助台機器人、入職助理、銷售資格機器人、常見問題解答助理或任何多輪會話人工智慧時使用。由用於回應品質的 DSPy 和用於對話狀態管理的 LangGraph 提供支援。 來源：lebsral/dspy-programming-not-prompting-lms-skills。