AI Voice Chatbot: Seamless Conversations with Memory and Multi-AI Power
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Build an intelligent AI voice chatbot that remembers conversations and leverages cutting-edge models like Google Gemini and ElevenLabs for natural, engaging interactions. Triggered via webhook, this workflow ensures context is maintained, providing a truly seamless user experience.
About This Workflow
Unlock the power of conversational AI with this advanced n8n workflow. Designed to create a dynamic AI voice chatbot, it intelligently manages conversation history using memory nodes, ensuring every interaction builds upon the last. By integrating Google Gemini for robust natural language understanding and ElevenLabs for high-quality text-to-speech, your chatbot will engage users with fluid, human-like responses. The workflow begins with a webhook trigger, allowing for easy integration into your applications, and concludes with a synthesized voice output, ready to be delivered back to the user.
Key Features
- Persistent Conversation Memory: Utilizes Langchain's Memory Manager and Buffer Window nodes to retain context across multiple turns.
- Multi-AI Model Integration: Seamlessly combines Google Gemini (for LLM processing) and ElevenLabs (for TTS).
- Webhook Trigger: Easily initiate the chatbot conversation via a simple POST request.
- Customizable Voice Output: Integrate ElevenLabs API for dynamic audio generation with your choice of voice.
How To Use
- Webhook Setup: Configure the
Webhooknode with a unique path (e.g.,voice_message) to receive incoming voice data. - Speech-to-Text: Integrate an OpenAI node (or similar) to convert the incoming audio into text.
- Context Management: Connect the
Get ChatandInsert Chatnodes from the@n8n/n8n-nodes-langchain.memoryManagerto manage conversation history. Use theAggregatenode to gather context for the LLM. - LLM Interaction: Use the
Google Gemini Chat ModelandBasic LLM Chainnodes to process the user's text and generate a response, incorporating the conversation history. - Text-to-Speech: Utilize the
ElevenLabs - Generate Audionode (HTTP Request) to convert the LLM's text response into speech. Ensure you have your ElevenLabs API key and Voice ID configured in the node's credentials and URL parameters. - Respond: The
Respond to Webhooknode sends the generated audio back to the initiating application.
Apps Used
Workflow JSON
{
"id": "128412c3-86af-4fbf-95cf-f482b9d15381",
"name": "AI Voice Chatbot: Seamless Conversations with Memory and Multi-AI Power",
"nodes": 13,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 128412c3-86af...
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