Create an AI Voice Customer Support Agent with Supabase and ElevenLabs
Leverage ElevenLabs' conversational model and n8n to build an AI voice-triggered customer support agent that processes user queries and provides contextually accurate responses.
This workflow integrates ElevenLabs, Supabase, and LangChain to create a seamless AI voice assistant. It captures user queries through a webhook, transforms them into embeddings for semantic search, retrieves relevant context from a knowledge base, and generates human-like responses using the Google Vertex Gemini model. The workflow ensures that responses are based solely on the retrieved context, enhancing the accuracy and reliability of the support agent.
- Platform
- n8n
- Category
- Customer Support
- Price
- $9.99
- Creator
- Grace Kim
- code
- webhook
- supabase
- aggregate
- googleDocs
- stickyNote
- httpRequest
- manualTrigger
- respondToWebhook
- chainLlm
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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