Build an ADVANCED AI Chatbot with Memory & Real-Time Search🚀 (Free Code!) Python| LangGraph| Gemini

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🚀 Learn how to build an Advanced AI Chatbot that has memory, real-time web search, and uses a free LLM (Gemini API) — all step-by-step in Python.

In this full tutorial, we’ll use LangGraph, Tavily, and Gemini to create an AI chatbot that can:
✅ Remember past conversations
✅ Search the internet in real time
✅ Be integrated with any frontend
✅ Debug easily with LangGraph

🎓 Tech Stack Used:

Python (Backend)

LangGraph (Graph-based control flow & debugging)

Gemini API (FREE LLM from Google)

Tavily (Real-Time Search API)

💾 Free Source Code on GitHub:

🔐 API Keys Required:

💡 Built with modular architecture — easily connect any UI or frontend.

🔥 Ready to build your own smart AI assistant? Dive in now.

Timelapse ⏱️ :
0:00 Intro of our Advance AI Chatbot
1:20 Initiating the Project & Understanding Files Structure
1:52 Creating & Activating Environment & Installing Dependencies
2:50 Getting API Keys (Gemini, Tavily, LangGraph)
4:18 Going through each step in making (Step 1 - Static Chatbot)
4:35 Step 2 - Integrated Gemini API Key for Dynamic Responses
6:30 Step 3 - Integrating Tavily for Real Time Search Capability
7:18 Step 4 - Giving Memory to our AI Chatbot & Integrating Conversational ID Feature
8:45 Outro & About my Software/AI Automation Agency Devmate Solutions

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#AIChatbot #LangGraph #GeminiAI #Tavily #PythonAI #ChatbotTutorial #OpenSourceAI #RealTimeSearch #LLM #FreeCode #LangChain

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