Conversational AI Chatbot with Google Gemini for Text & Image on Telegram
Scalable Telegram chatbot using Google Gemini for text/image generation, with session memory, intent detection, and multi-language support (primarily Spanish). Modular design for easy extension to audio/video.
This workflow implements a flexible, production-ready conversational AI chatbot integrated with Telegram and Google Gemini API. It processes incoming Telegram messages, extracts data, maintains session-based context for coherent conversations, and uses Gemini for accurate intent classification and two-step validation. Based on detected intent, it generates context-aware responses including text and images, with capabilities to modify previous outputs (e.g., editing generated images). The modular architecture separates data handling, analysis, and generation, making it highly extensible for additional tools, databases, or media types like audio and video.
Key benefits include dynamic memory management for natural dialogues, support for multiple languages, and seamless native integrations with Gemini and Telegram for reliability. It's scalable for high-volume use and customizable for various platforms, saving significant development time compared to building from scratch.
Ideal use cases: customer support bots, on-demand multimedia content creation (e.g., custom images), marketing engagement tools, virtual assistants, and more. Adaptable for e-commerce product visuals or personalized content generation.
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Customer Support Automation Suite
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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