Automate Company Docs with Google Drive and RAG Chatbot
This workflow integrates Google Drive with AI chatbot functionality, allowing users to retrieve information from company documents stored in Google Drive using a conversational interface.
Key features include automated file updates, vector store management, and natural language processing capabilities.
Benefits of this workflow include improved document management, enhanced employee experience, and increased productivity through automation.
- •A company can use this workflow to provide employees with an AI-powered chatbot that retrieves information from company policies and documents stored in Google Drive, improving employee experience and reducing support queries.
- •An HR department can utilize this workflow to automate the process of answering frequently asked questions by employees, freeing up staff to focus on more complex and strategic tasks.
- •A business can leverage this workflow to enhance its customer support operations by integrating the AI chatbot with Google Drive, allowing customers to access relevant information and reducing the need for human intervention.
- 1Create a Google Cloud project and enable the Vertex AI API for your project.
- 2Obtain a Google AI API key from Google AI Studio and set up a Pinecone account with an API key.
- 3Configure credentials in your n8n environment for Google Drive OAuth2, Google Gemini(PaLM) Api, and Pinecone API.
- 4Import the workflow into your n8n instance and update the Google Drive Trigger nodes to watch the specific folder you created in your Google Drive.
- 5Configure the Pinecone Vector Store nodes to use your company-files index and test the workflow to ensure it is working as expected.
- 6Set up the AI chatbot to retrieve information from the company documents stored in Google Drive and test its functionality.
- 7Fine-tune the workflow as needed to improve its performance and accuracy.
{
"id": "7cXvgkl9170QXzT2",
"meta": {
"instanceId": "69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d",
"templateCredsSetupCompleted": true
},
"name": "RAG Workflow For Company Documents stored in Google Drive",
"tags": [],
"nodes": [
{
"id": "753455a3-ddc8-4a74-b043-70a0af38ff9e",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
680,
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],
"parameters"...- Google Drive OAuth2
- Google Gemini(PaLM) Api
- Pinecone API
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