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.
Build a conversational AI assistant with memory and state. Use when you need a customer support chatbot, helpdesk bot, onboarding assistant, sales qualification bot, FAQ assistant, or any multi-turn conversational AI. Powered by DSPy for response quality and LangGraph for conversation state management. Source: lebsral/dspy-programming-not-prompting-lms-skills.