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Learn how to use LangChain messages to build powerful, context-aware AI chatbots with memory. If your chatbot forgets previous inputs or gives inconsistent answers, you're probably not using messages correctly. In this beginner-friendly LangChain tutorial, you'll learn how messages work and how they transform simple AI models into real conversational assistants. 🚀 In This LangChain Tutorial, You’ll Learn: * What are messages in LangChain * Types of messages (System, Human, AI, Tool) * How to build chatbots with memory * Difference between prompts vs messages * How to structure conversations in LangChain * Real-world examples using Python Github Code: https://github.com/Pytechie-dev/langchain-tutorial/blob/7454b7e1052b0829d775c319ed321a4e0b76ac62/messages.ipynb This video is perfect for beginners in: * LangChain * LLM (Large Language Models) * AI chatbot development * Prompt engineering 👉 Subscribe for more AI + LangChain tutorials 👉 Next: How chat models process messages