Automated Multilingual Demo Voice Assistant
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This n8n workflow creates an intelligent, multilingual voice assistant designed for demo callbacks and enhanced customer engagement. It automates fetching provider details, generating dynamic voice responses using AI, and delivering them seamlessly via Telegram, ensuring efficient follow-up and personalized communication.
About This Workflow
This sophisticated n8n workflow powers an automated, multilingual voice assistant tailored to streamline your demo callback process. It intelligently triggers from chat inputs, retrieves essential provider information from a PostgreSQL database with Redis caching for rapid access, and logs every interaction. The workflow then leverages cutting-edge AI (Minimax Text-to-Speech) to convert dynamic text into natural-sounding speech in multiple languages, including Chinese and Japanese. Finally, it delivers these personalized voice messages directly to users via a Telegram bot, enhancing engagement and providing a professional, automated communication channel for your sales and support teams. This ensures prompt, consistent, and context-aware responses, freeing up human resources.
Key Features
- Multilingual AI Voice Generation: Utilizes Minimax Text-to-Speech to create natural-sounding voice responses in various languages, such as Chinese (Mandarin and Yue) and Japanese.
- Dynamic Data Retrieval & Caching: Seamlessly connects to PostgreSQL to load 'provider' specific data and employs Redis for fast, efficient caching with a 15-minute TTL.
- Seamless Telegram Integration: Delivers automated voice messages and updates directly to users via a dedicated Telegram bot, enabling conversational interfaces.
- Comprehensive Chat Logging & Persistence: Persistently logs all chat inputs and AI-generated outputs to PostgreSQL, providing a robust audit trail for analysis and continuous improvement.
- Intelligent Conditional Logic: Employs
SwitchandIfnodes to dynamically route communication based on provider availability, input types, and media preferences, ensuring a tailored user experience.
How To Use
- Configure Triggers: Set up the
Flow TriggerorTest Trigger(Langchain Chat Trigger) to define how the workflow starts, e.g., a specific chat message, a webhook call, or an internal event. - Database & Cache Setup: Configure the
Postgresnodes (Load Provider Data,Create Chat Log Input/Output) with your database credentials. Set up theRedisnodes (Provider Cache,Save Provider Cache) for high-speed data caching. - Integrate Minimax TTS: Provide the necessary API keys and parameters for the
Minimax TTSHTTP Request node to enable AI-powered text-to-speech conversion. - Connect Telegram: Set up the
Telegram Voice Outputnode with your Telegram bot token and the relevant chat ID to ensure voice messages are delivered correctly. - Customize Logic & Content: Adjust the
IfandSwitchnodes to refine conditional routing based on your specific requirements (e.g., language detection, provider status). ModifySetnodes (e.g.,Chinese,Japanese,Provider) to define multilingual responses or tailor provider data structures.
Apps Used
Workflow JSON
{
"id": "8396a77c-6499-40a6-be8e-e7fe2d45e182",
"name": "Automated Multilingual Demo Voice Assistant",
"nodes": 6,
"category": "Sales",
"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: 8396a77c-6499...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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