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Building an AI Chatbot: Managing HumanMessage, AIMessage, and Chat History in LangChain | Video #7

Let's build something real! In Video #8 of our LangChain Full Course, we move from basic scripts to a functional AI Chatbot.

The secret to a great chatbot is Context. If the AI doesn't remember what you said a moment ago, it isn't a conversation. I will show you how to use HumanMessage and AIMessage objects to build a dynamic chat_history list. You will learn how to feed this history back into the LLM so your chatbot has "memory" and can handle follow-up questions like a pro.

In this video, we cover:

The Message Schema: Deep dive into HumanMessage and AIMessage.

State Management: Creating and updating a chat_history list in Python.

Contextual Awareness: How to make the LLM refer back to previous parts of the chat.

The Chat Loop: Setting up a simple way to keep the conversation going.

🚀 Follow the Full Course Playlist here:
https://www.youtube.com/playlist?list=PLjgyOe4yASKiiyHvOd9vo_mjmPBql-xR_

#LangChain #AIChatbot #ChatHistory #PythonAI #GenerativeAI #OpenAI #PromptEngineering #LLM #LangChainTutorial #ChatbotDevelopment #ArtificialIntelligence #Coding #PythonTutorial #AIMemory

Видео Building an AI Chatbot: Managing HumanMessage, AIMessage, and Chat History in LangChain | Video #7 канала Vikas Munjal Ellarr
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