Step-by-Step Tutorial: Create a RAG Chatbot with n8n AI Agents in MINUTES

Introduction

In this tutorial, you'll learn how to create a Retrieval-Augmented Generation (RAG) Chatbot using n8n AI Agents. This chatbot will be able to answer questions based on your own knowledge base. Additionally, you will embed the chatbot into a website using the n8n web embed script. By following these steps, you can have a fully functional chatbot integrated into your site in just a few minutes.

Step 1: Create Data Upsert Workflow

• Start by setting up a workflow in n8n that allows you to upsert data into your knowledge base.
• This will ensure that your chatbot has access to the latest information.

Step 2: Set Up Google Drive Trigger

• Add a Google Drive trigger to your workflow.
• This trigger will monitor changes in your Google Drive, allowing your chatbot to respond to updates in real-time.

Step 3: Download File from Google Drive

• Use the Google Drive node to download the necessary files containing your knowledge base.
• Ensure that the files are in a compatible format for processing.

Step 4: Add Pinecone Vector Store

• Integrate Pinecone to store your data in a vector format.
• This step is crucial for enhancing the chatbot's ability to search through your knowledge base effectively.

Step 5: Create OpenAI API Key

• Sign up for OpenAI and generate an API key.
• This key will be used to enable the AI capabilities of your chatbot.

Step 6: Add Meta Data

• Incorporate metadata into your workflow.
• This information will help the chatbot provide more contextually relevant answers.

Step 7: Create an AI Agent (RAG Chatbot)

• With all the components in place, create your AI agent.
• Configure it to utilize the knowledge base and respond to user queries based on the data you supplied.

Step 8: Generate Public URL

• Once your AI agent is set up, generate a public URL for it.
• This URL will be used to access the chatbot from anywhere.

Step 9: Embed Chatbot on Website

• Use the n8n web embed script to add the chatbot to your website.
• Follow these steps to ensure correct integration:
  • Copy the embed code generated by n8n.
  • Paste it into the HTML of your website where you want the chatbot to appear.

Step 10: Change Embed Styles

• Customize the appearance of your embedded chatbot.
• Modify styles such as dimensions, colors, and fonts to match your website's design.

Conclusion

By following these steps, you have created a RAG Chatbot that can interact with users based on your knowledge base and embedded it into your website. You can continually update the knowledge base and improve the chatbot's responses over time. Future steps could involve further customization of the chatbot’s behavior or expanding its capabilities with additional integrations. Happy chatting!