Having an Actual Conversation with Data Using an ElevenLabs Voice Agent and n8n
Key Takeaways
This video demonstrates how to build a voice AI agent in n8n using ElevenLabs to interact with a vector database for RAG, enabling natural and conversational interactions with data via voice commands.
Original Description
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In this video, I show you how to build a voice AI agent in n8n using ElevenLabs to interact with your vector database for RAG in a more natural, conversational way. Instead of texting and reading, you’ll use your voice to ask questions and get real-time, human-like voice responses. This makes accessing your knowledge base faster and more convenient, perfect for hands-free interactions or enhancing your AI assistant's capabilities.
By the end of this video, you’ll understand how to create a functional Voice RAG Agent that makes conversations with your data seamless and engaging!
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WATCH NEXT:
https://youtu.be/u2Tuu02r7QI
TIMESTAMPS
00:00 Demo
01:10 The Breakdown
02:15 Vector Database Data
04:14 The Webhook
05:45 Reviewing Agent Log
07:07 Setting up ElevenLabs Agent
11:08 Testing Voice Agent
12:25 Final Thoughts
Gear I Used:
Camera: Razer Kiyo Pro
Microphone: HyperX SoloCast
Background Music: https://www.youtube.com/watch?v=GXYN8kATnVA
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Chapters (8)
Demo
1:10
The Breakdown
2:15
Vector Database Data
4:14
The Webhook
5:45
Reviewing Agent Log
7:07
Setting up ElevenLabs Agent
11:08
Testing Voice Agent
12:25
Final Thoughts
🎓
Tutor Explanation
DeepCamp AI