AI-Powered Telegram Chatbot with Persistent Memory
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Automate intelligent conversations on Telegram with a powerful AI chatbot. This workflow leverages Google Gemini and Redis for persistent memory, ensuring your bot remembers past interactions and provides contextual responses.
About This Workflow
This n8n workflow creates an intelligent Telegram chatbot capable of engaging in dynamic and context-aware conversations. It utilizes the robust capabilities of Google Gemini for natural language understanding and generation. Crucially, it integrates Redis to store and retrieve chat history, enabling the AI to maintain conversational context across multiple interactions. This means your bot can recall previous messages, understand user intent more effectively, and deliver a personalized user experience. The workflow is designed for seamless integration and scalable deployment, making it ideal for enhancing customer support, providing information, or engaging users on Telegram.
Key Features
- Intelligent AI Conversation: Leverages Google Gemini for advanced natural language processing.
- Persistent Chat Memory: Utilizes Redis to store and recall conversation history, enabling context-aware interactions.
- Telegram Integration: Seamlessly connects to Telegram for bot deployment.
- Scalable and Extensible: Designed with n8n's modularity for easy customization and expansion.
- Real-time Updates: Processes messages in real-time to provide instant responses.
How To Use
- Telegram Trigger: Configure your Telegram bot using the
Telegram Triggernode to receive incoming messages. - Get Message Details: Use the
Get Valuesnode to extract essential information like chat ID and message text. - Session Management: Employ the
Get SessionandUpdate Sessionnodes (using Redis) to store and retrieve conversation history based on the user's chat ID. This is crucial for maintaining context. - AI Interaction: Connect to Google Gemini using the
Google Gemini Chat Modelnodes. TheAI Agentnode orchestrates the interaction, feeding the conversation history from Redis to the AI. - Conditional Logic: Utilize the
Is Waiting?IF node to manage the bot's state, potentially pausing for more input or continuing the conversation. - Update Bot State: The
Update Session1node can be used to set the bot's state (e.g., 'waiting') and store execution URLs for potential future resume capabilities. - Connect Nodes: Ensure the data flows correctly between nodes, particularly passing the conversation history from Redis to the AI nodes and then updating the session with the AI's response.
Apps Used
Workflow JSON
{
"id": "425df51f-3268-411e-9e27-b086267833a8",
"name": "AI-Powered Telegram Chatbot with Persistent Memory",
"nodes": 22,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 425df51f-3268...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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