Build Your Own Voice AI Assistant with n8n

Learn how to build a personalized voice AI assistant for your website using n8n, a free open-source automation tool. This tutorial covers integrating Google Drive, Pinecone Vector Database, and OpenAI to handle voice queries and generate responses.

Duration: 19 minutes
Level: Beginner
10 Lessons
Automation Prompt Engineering Coding

Course Timeline

00:00

πŸŽ™οΈ Introduction: Voice AI Assistant Overview

Introduction to the project and its benefits. A real-world example of integrating a voice assistant on a website is presented.

01:59

βš™οΈ Project Setup: High-Level Process

Overview of the entire workflow process, including the creation of embeddings, voice query handling, and WordPress plugin integration.

03:15

☁️ Google Drive Integration: Setting up the Trigger

Setting up the connection to Google Drive, obtaining credentials, and creating a workflow to pull documents and trigger events.

06:05

⬇️ File Download and Embedding Generation

Downloading files from Google Drive, generating embeddings using OpenAI, and storing them in the Pinecone Vector Database. Includes metadata setup for efficient search.

07:15

πŸ“Œ Pinecone Vector Database Setup

Creating a Pinecone index, obtaining API keys, and configuring the Pinecone Vector Store node within n8n. Choosing embedding model and handling metadata.

10:16

πŸ—£οΈ Voice Query Handling: Workflow for User Interactions

Building the workflow to handle user voice queries, including transcription with OpenAI, AI agent processing, and audio response generation.

12:08

πŸ€– AI Agent Configuration: Tools and System Message

Setting up the AI agent with tools (Vector Store and Calculator) and a system message to guide its responses.

14:39

πŸ”Œ WordPress Plugin Integration: Deployment and Testing

Creating a simple WordPress plugin using AI assistance, along with explanations for the plugin’s functionality and Javascript interactions.

17:25

πŸ§ͺ Testing and Results: Workflow Execution

Testing the entire workflow, observing data flow through each node, and examining the results in n8n and Pinecone.

18:38

πŸš€ Conclusion: Improvements and Future Enhancements

Discussing potential improvements and additions, like memory management, calendar integration, and response time optimization.