20h • 🤖 AI + Automation
💬🤖 Showcasing My DeepSeek AI Chatbot Workflow
I built a real-time AI chatbot powered by the DeepSeek Chat Model and contextual memory — perfect for interactive conversations ⚡
🧠 Here’s what it does:
1️⃣ Listens for incoming chat messages through a built-in chat interface.
2️⃣ Routes the messages to an AI Agent for decision-making.
3️⃣ Uses DeepSeek to understand the input and generate intelligent responses.
4️⃣ Leverages Window Buffer Memory to keep track of recent conversation context.
5️⃣ Sends responses back instantly to the chat UI for a smooth, real-time experience.
💡 Why this is powerful:
This setup allows you to build custom chatbots without relying on predefined flows — the model understands, remembers, and responds naturally. Ideal for support bots, onboarding assistants, or interactive knowledge bases.
🔧 Tools involved:
n8n (workflow automation)
DeepSeek Chat Model
Window Buffer Memory
Built-in Chat Interface
🚀 A clean, scalable way to bring AI-powered conversations directly into your website or app.
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💬🤖 Showcasing My DeepSeek AI Chatbot Workflow
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